diff --git a/Makefile b/Makefile new file mode 100755 index 0000000..5455545 --- /dev/null +++ b/Makefile @@ -0,0 +1,85 @@ +GPU=1 +CUDNN=1 +OPENCV=1 +DEBUG=0 + +# with cudnn6, need to update convolutional_layer.c: +# https://groups.google.com/forum/#!topic/darknet/AEP4qwIPwa4 + +ARCH= -gencode arch=compute_20,code=[sm_20,sm_21] \ + -gencode arch=compute_30,code=sm_30 \ + -gencode arch=compute_35,code=sm_35 \ + -gencode arch=compute_50,code=[sm_50,compute_50] \ + -gencode arch=compute_52,code=[sm_52,compute_52] \ + -gencode arch=compute_61,code=[sm_61,compute_61] + +VPATH=./src/ +EXEC=darknet +OBJDIR=./obj/ + +CC=gcc +NVCC=nvcc +OPTS=-Ofast +LDFLAGS= -lm -pthread +COMMON=-I/Users/avanetten/anaconda/pkgs/libgdal-2.1.0-0/include +CFLAGS=-Wall -Wfatal-errors + +ifeq ($(DEBUG), 1) +OPTS=-O0 -g +endif + +CFLAGS+=$(OPTS) + +ifeq ($(OPENCV), 1) +COMMON+= -DOPENCV +CFLAGS+= -DOPENCV +LDFLAGS+= `pkg-config --libs opencv` +COMMON+= `pkg-config --cflags opencv` +endif + +ifeq ($(GPU), 1) +COMMON+= -DGPU -I/usr/local/cuda/include/ +CFLAGS+= -DGPU +LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand +endif + +ifeq ($(CUDNN), 1) +COMMON+= -DCUDNN +CFLAGS+= -DCUDNN +LDFLAGS+= -lcudnn +endif + +OBJ=gemm.o utils.o cuda.o convolutional_layer.o list.o image.o activations.o im2col.o col2im.o blas.o crop_layer.o dropout_layer.o maxpool_layer.o softmax_layer.o data.o matrix.o network.o connected_layer.o cost_layer.o parser.o option_list.o darknet.o detection_layer.o captcha.o route_layer.o writing.o box.o nightmare.o normalization_layer.o avgpool_layer.o coco.o dice.o yolo.o yolt.o yolt2.o detector.o layer.o compare.o classifier.o local_layer.o swag.o shortcut_layer.o activation_layer.o rnn_layer.o gru_layer.o rnn.o rnn_vid.o crnn_layer.o demo.o tag.o cifar.o go.o batchnorm_layer.o art.o region_layer.o reorg_layer.o super.o voxel.o tree.o +ifeq ($(GPU), 1) +LDFLAGS+= -lstdc++ +OBJ+=convolutional_kernels.o activation_kernels.o im2col_kernels.o col2im_kernels.o blas_kernels.o crop_layer_kernels.o dropout_layer_kernels.o maxpool_layer_kernels.o network_kernels.o avgpool_layer_kernels.o +endif + +OBJS = $(addprefix $(OBJDIR), $(OBJ)) +DEPS = $(wildcard src/*.h) Makefile + +all: obj results $(EXEC) +#all: obj backup results $(EXEC) + + +$(EXEC): $(OBJS) + $(CC) $(COMMON) $(CFLAGS) $^ -o $@ $(LDFLAGS) + +$(OBJDIR)%.o: %.c $(DEPS) + $(CC) $(COMMON) $(CFLAGS) -c $< -o $@ + +$(OBJDIR)%.o: %.cu $(DEPS) + $(NVCC) $(ARCH) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@ + +obj: + mkdir -p obj +#backup: +# mkdir -p backup +results: + mkdir -p results + +.PHONY: clean + +clean: + rm -rf $(OBJS) $(EXEC) + diff --git a/README.md b/README.md new file mode 100755 index 0000000..7fcab48 --- /dev/null +++ b/README.md @@ -0,0 +1,103 @@ +# YOLT # + +# You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery + +YOLT is an extension of the YOLO framework (https://pjreddie.com/darknet/yolov2/) that can evaluation satellite images of arbitrary size, and runs at ~50 frames per second. + +References: + +arxiv + +https://medium.com/the-downlinq/you-only-look-twice-multi-scale-object-detection-in-satellite-imagery-with-convolutional-neural-38dad1cf7571 + +https://medium.com/the-downlinq/you-only-look-twice-multi-scale-object-detection-in-satellite-imagery-with-convolutional-neural-34f72f659588 + +https://medium.com/the-downlinq/building-extraction-with-yolt2-and-spacenet-data-a926f9ffac4f + +https://medium.com/the-downlinq/car-localization-and-counting-with-overhead-imagery-an-interactive-exploration-9d5a029a596b + +https://medium.com/the-downlinq/the-satellite-utility-manifold-object-detection-accuracy-as-a-function-of-image-resolution-ebb982310e8c + +https://medium.com/the-downlinq/panchromatic-to-multispectral-object-detection-performance-as-a-function-of-imaging-bands-51ecaaa3dc56 + +If you plan on using YOLT in your work, please consider citing YOLO (https://arxiv.org/abs/1612.08242) and YOLT (arxiv) + + + +The YOLT code alters a number of the files in src/*.c to allow further functionality. We also build a python wrapper around the C functions to improve flexibility. We utililize the default data format of YOLO, which places images and labels in different forlders. +An example training data and image: + + /data/images/train1.tif + /data/labels/train1.txt + +Each line of the .txt file has the format + + + Where x, y, width, and height are relative to the image's width and height. + +Labels can be created with https://github.com/tzutalin/labelImg, and converted to the appropriate format with the /yolt/scripts/convert.py script. Also see https://github.com/Guanghan/darknet for an example of YOLO modifications. + + +# Execution # + +############################################## +# HELP +python yolt2.py --help + +############################################## +# COMPILE (gpu machine) +python yolt2.py \ +--mode compile + + +############################################## +# TRAIN (gpu_machine) + + +# Boats and planes +python ../scripts/yolt2.py \ +--mode train \ +--outname 3class_boat_plane \ +--object_labels_str boat,boat_harbor,airplane \ +--cfg_file ave_13x13.cfg \ +--nbands 3 \ +--weight_file ave_13x13_boats_planes_voc.weights \ +--train_images_list_file boat_airplane_all.txt \ +--single_gpu_machine 0 \ +--keep_valid_slices False \ +--max_batches 60000 \ +--gpu 1 + +############################################## +# VALIDATE (gpu_machine) + +# test on all: boats, cars, and airplanes with new model +cd /raid/local/src/yolt2/results/ +python ../scripts/yolt2.py \ +--mode valid \ +--outname qgis_labels_all_boats_planes_cars_buffer \ +--object_labels_str airplane,airport,boat,boat_harbor,car \ +--cfg_file ave_26x26.cfg \ +--valid_weight_dir train_cowc_cars_qgis_boats_planes_cfg=ave_26x26_2017_11_28_23-11-36 \ +--weight_file ave_26x26_30000_tmp.weights \ +--valid_testims_dir qgis_validation/all \ +--keep_valid_slices False \ +--valid_make_pngs True \ +--valid_make_legend_and_title False \ +--edge_buffer_valid 1 \ +--valid_box_rescale_frac 1 \ +--plot_thresh_str 0.4 \ +--slice_sizes_str 416 \ +--slice_overlap 0.2 \ +--gpu 2 + + +############################################## + +TBD: + +Upload data preparation scripts +Describe multispectral data handling +Describle initial results with YOLOv3 +Describle better labeling methods + diff --git a/cfg/alexnet.cfg b/cfg/alexnet.cfg new file mode 100755 index 0000000..7e5a9b2 --- /dev/null +++ b/cfg/alexnet.cfg @@ -0,0 +1,95 @@ +[net] +batch=128 +subdivisions=1 +height=227 +width=227 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=256 + +learning_rate=0.01 +policy=poly +power=4 +max_batches=800000 + +angle=7 +hue = .1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +filters=96 +size=11 +stride=4 +pad=0 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[convolutional] +filters=256 +size=5 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[convolutional] +filters=384 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=384 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=1000 +activation=linear + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/ave_13x13.cfg b/cfg/ave_13x13.cfg new file mode 100755 index 0000000..fda339a --- /dev/null +++ b/cfg/ave_13x13.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/ave_17x17.cfg b/cfg/ave_17x17.cfg new file mode 100755 index 0000000..ef7058c --- /dev/null +++ b/cfg/ave_17x17.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=544 +height=544 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/ave_19x19.cfg b/cfg/ave_19x19.cfg new file mode 100755 index 0000000..788cb87 --- /dev/null +++ b/cfg/ave_19x19.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=608 +height=608 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/ave_19x19_1band.cfg b/cfg/ave_19x19_1band.cfg new file mode 100755 index 0000000..a4d60ff --- /dev/null +++ b/cfg/ave_19x19_1band.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=608 +height=608 +channels=1 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/ave_19x19_8band.cfg b/cfg/ave_19x19_8band.cfg new file mode 100755 index 0000000..0c588d8 --- /dev/null +++ b/cfg/ave_19x19_8band.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=608 +height=608 +channels=8 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/ave_26x26_1band.cfg b/cfg/ave_26x26_1band.cfg new file mode 100755 index 0000000..a04e647 --- /dev/null +++ b/cfg/ave_26x26_1band.cfg @@ -0,0 +1,244 @@ +[net] +batch=16 +subdivisions=4 +width=416 +height=416 +channels=1 +momentum=0.9 +decay=0.0005 +angle=0 +saturation=1.5 +exposure=1.5 +hue=.1 + +learning_rate=0.001 +max_batches=120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +#[maxpool] +#size=2 +#stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=1 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=40 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=1 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh=.6 +random=0 diff --git a/cfg/ave_26x26_8band.cfg b/cfg/ave_26x26_8band.cfg new file mode 100755 index 0000000..f0bb211 --- /dev/null +++ b/cfg/ave_26x26_8band.cfg @@ -0,0 +1,244 @@ +[net] +batch=16 +subdivisions=4 +width=416 +height=416 +channels=8 +momentum=0.9 +decay=0.0005 +angle=0 +saturation=1.5 +exposure=1.5 +hue=.1 + +learning_rate=0.001 +max_batches=120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +#[maxpool] +#size=2 +#stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=1 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=40 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=1 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh=.6 +random=0 diff --git a/cfg/ave_34x34.cfg b/cfg/ave_34x34.cfg new file mode 100644 index 0000000..1480d7f --- /dev/null +++ b/cfg/ave_34x34.cfg @@ -0,0 +1,244 @@ +[net] +batch=16 +subdivisions=4 +width=544 +height=544 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation=1.5 +exposure=1.5 +hue=.1 + +learning_rate=0.001 +max_batches=120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +#[maxpool] +#size=2 +#stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=1 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=40 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=1 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh=.6 +random=0 diff --git a/cfg/ave_dense.cfg b/cfg/ave_dense.cfg new file mode 100755 index 0000000..ad8c849 --- /dev/null +++ b/cfg/ave_dense.cfg @@ -0,0 +1,221 @@ +[net] +batch=16 +subdivisions=4 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation=1.5 +exposure=1.5 +hue=.1 + +learning_rate=0.0001 +max_batches=60000 +policy=steps +steps=100,25000,45000 +scales=10,.1,.1 + +# 0 +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +# 1 +[maxpool] +size=2 +stride=2 + +# 2 +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +# 3 +[maxpool] +size=2 +stride=2 + +#4 +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +# 5 +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +# 6 +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +# 7 +[maxpool] +size=2 +stride=2 + +# 8 +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +# 9 +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +# 10 +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +# 11 +[maxpool] +size=2 +stride=2 + +# 12 +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +# 13 +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +# 14 +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +# 15 +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +# 16 +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +# 17 +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +# 18 +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +# 19 +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +# 20 +[convolutional] +size=1 +stride=1 +pad=1 +filters=40 +activation=linear + +[region] +# yolo_voc.cfg: anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +# yolo.cfg: anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +# use voc: +anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=1 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh=.6 +random=0 diff --git a/cfg/ave_standard.cfg b/cfg/ave_standard.cfg new file mode 100644 index 0000000..6244be2 --- /dev/null +++ b/cfg/ave_standard.cfg @@ -0,0 +1,244 @@ +[net] +batch=64 +subdivisions=8 +height=416 +width=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation=1.5 +exposure=1.5 +hue=.1 + +learning_rate=0.0001 +max_batches=60000 +policy=steps +steps=100,25000,45000 +scales=10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=40 +activation=linear + +[region] +anchors=1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=3 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh=.6 +random=0 diff --git a/cfg/cifar.cfg b/cfg/cifar.cfg new file mode 100755 index 0000000..f2c801a --- /dev/null +++ b/cfg/cifar.cfg @@ -0,0 +1,126 @@ +[net] +batch=128 +subdivisions=1 +height=32 +width=32 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.4 +policy=poly +power=4 +max_batches = 50000 + +[crop] +crop_width=28 +crop_height=28 +flip=1 +angle=0 +saturation = 1 +exposure = 1 +noadjust=1 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[dropout] +probability=.5 + +[convolutional] +filters=10 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] + diff --git a/cfg/cifar.test.cfg b/cfg/cifar.test.cfg new file mode 100755 index 0000000..d3afcdd --- /dev/null +++ b/cfg/cifar.test.cfg @@ -0,0 +1,119 @@ +[net] +batch=128 +subdivisions=1 +height=32 +width=32 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.4 +policy=poly +power=4 +max_batches = 50000 + + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[dropout] +probability=.5 + +[convolutional] +filters=10 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 +temperature=3 + +[cost] + diff --git a/cfg/coco.data b/cfg/coco.data new file mode 100755 index 0000000..3003841 --- /dev/null +++ b/cfg/coco.data @@ -0,0 +1,8 @@ +classes= 80 +train = /home/pjreddie/data/coco/trainvalno5k.txt +valid = coco_testdev +#valid = data/coco_val_5k.list +names = data/coco.names +backup = /home/pjreddie/backup/ +eval=coco + diff --git a/cfg/darknet.cfg b/cfg/darknet.cfg new file mode 100755 index 0000000..60b939a --- /dev/null +++ b/cfg/darknet.cfg @@ -0,0 +1,111 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=320 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 +padding=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/darknet19.cfg b/cfg/darknet19.cfg new file mode 100755 index 0000000..bf73fb7 --- /dev/null +++ b/cfg/darknet19.cfg @@ -0,0 +1,194 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=448 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/darknet19_448.cfg b/cfg/darknet19_448.cfg new file mode 100755 index 0000000..133c688 --- /dev/null +++ b/cfg/darknet19_448.cfg @@ -0,0 +1,200 @@ +[net] +batch=128 +subdivisions=4 +height=448 +width=448 +max_crop=512 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.001 +policy=poly +power=4 +max_batches=100000 + +angle=7 +hue = .1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/extraction.cfg b/cfg/extraction.cfg new file mode 100755 index 0000000..94e1067 --- /dev/null +++ b/cfg/extraction.cfg @@ -0,0 +1,206 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +max_crop=320 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=192 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/extraction.conv.cfg b/cfg/extraction.conv.cfg new file mode 100755 index 0000000..2a7d09e --- /dev/null +++ b/cfg/extraction.conv.cfg @@ -0,0 +1,179 @@ +[net] +batch=1 +subdivisions=1 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.5 +policy=poly +power=6 +max_batches=500000 + +[convolutional] +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + diff --git a/cfg/extraction22k.cfg b/cfg/extraction22k.cfg new file mode 100755 index 0000000..4cec6da --- /dev/null +++ b/cfg/extraction22k.cfg @@ -0,0 +1,209 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +max_crop=320 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.01 +max_batches = 0 +policy=steps +steps=444000,590000,970000 +scales=.5,.2,.1 + +#policy=sigmoid +#gamma=.00008 +#step=100000 +#max_batches=200000 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=192 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=3 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[connected] +output=21842 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/go.test.cfg b/cfg/go.test.cfg new file mode 100755 index 0000000..6b92d33 --- /dev/null +++ b/cfg/go.test.cfg @@ -0,0 +1,131 @@ +[net] +batch=1 +subdivisions=1 +height=19 +width=19 +channels=1 +momentum=0.9 +decay=0.0005 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=400000 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + + +[convolutional] +filters=1 +size=1 +stride=1 +pad=1 +activation=linear + +[softmax] + +[cost] +type=sse + diff --git a/cfg/gru.cfg b/cfg/gru.cfg new file mode 100755 index 0000000..f9a0699 --- /dev/null +++ b/cfg/gru.cfg @@ -0,0 +1,34 @@ +[net] +subdivisions=1 +inputs=256 +batch = 1 +momentum=0.9 +decay=0.001 +time_steps=1 +learning_rate=0.5 + +policy=poly +power=4 +max_batches=2000 + +[gru] +batch_normalize=1 +output = 1024 + +[gru] +batch_normalize=1 +output = 1024 + +[gru] +batch_normalize=1 +output = 1024 + +[connected] +output=256 +activation=linear + +[softmax] + +[cost] +type=sse + diff --git a/cfg/imagenet1k.data b/cfg/imagenet1k.data new file mode 100755 index 0000000..6634a27 --- /dev/null +++ b/cfg/imagenet1k.data @@ -0,0 +1,8 @@ +classes=1000 +train = /data/imagenet/imagenet1k.train.list +valid = /data/imagenet/imagenet1k.valid.list +backup = /home/pjreddie/backup/ +labels = data/imagenet.labels.list +names = data/imagenet.shortnames.list +top=5 + diff --git a/cfg/imagenet22k.dataset b/cfg/imagenet22k.dataset new file mode 100755 index 0000000..920785d --- /dev/null +++ b/cfg/imagenet22k.dataset @@ -0,0 +1,8 @@ +classes=21842 +train = /data/imagenet/imagenet22k.train.list +valid = /data/imagenet/imagenet22k.valid.list +backup = /home/pjreddie/backup/ +labels = data/imagenet.labels.list +names = data/imagenet.shortnames.list +top = 5 + diff --git a/cfg/jnet-conv.cfg b/cfg/jnet-conv.cfg new file mode 100755 index 0000000..056f82a --- /dev/null +++ b/cfg/jnet-conv.cfg @@ -0,0 +1,118 @@ +[net] +batch=1 +subdivisions=1 +height=10 +width=10 +channels=3 +learning_rate=0.01 +momentum=0.9 +decay=0.0005 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + diff --git a/cfg/msr_152.cfg b/cfg/msr_152.cfg new file mode 100755 index 0000000..b19c999 --- /dev/null +++ b/cfg/msr_152.cfg @@ -0,0 +1,1598 @@ +[net] +batch=128 +subdivisions=8 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0001 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=500000 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +##### Conv 1 ##### + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + + +##### Conv 2_x ##### + + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=1 +pad=1 +activation=linear +filters=256 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +##### Conv 3_x ##### + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=512 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + + +##### Conv 4_x ##### + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=1024 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +##### Conv 5_x ##### + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=2048 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/msr_34.cfg b/cfg/msr_34.cfg new file mode 100755 index 0000000..5ae23cf --- /dev/null +++ b/cfg/msr_34.cfg @@ -0,0 +1,366 @@ +[net] +batch=128 +subdivisions=1 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=500000 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + + + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + + + + + + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/msr_50.cfg b/cfg/msr_50.cfg new file mode 100755 index 0000000..2edd21c --- /dev/null +++ b/cfg/msr_50.cfg @@ -0,0 +1,558 @@ +[net] +batch=128 +subdivisions=8 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0001 + +learning_rate=0.05 +policy=poly +power=4 +max_batches=500000 + + + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +##### Conv 1 ##### + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + + +##### Conv 2_x ##### + + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=1 +pad=1 +activation=linear +filters=256 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 3_x ##### + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=512 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 4_x ##### + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=1024 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 5_x ##### + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=2048 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/rnn.cfg b/cfg/rnn.cfg new file mode 100755 index 0000000..68c032d --- /dev/null +++ b/cfg/rnn.cfg @@ -0,0 +1,40 @@ +[net] +subdivisions=1 +inputs=256 +batch = 1 +momentum=0.9 +decay=0.001 +max_batches = 2000 +time_steps=1 +learning_rate=0.1 +policy=steps +steps=1000,1500 +scales=.1,.1 + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[connected] +output=256 +activation=leaky + +[softmax] + +[cost] +type=sse + diff --git a/cfg/rnn.train.cfg b/cfg/rnn.train.cfg new file mode 100755 index 0000000..9139757 --- /dev/null +++ b/cfg/rnn.train.cfg @@ -0,0 +1,40 @@ +[net] +subdivisions=1 +inputs=256 +batch = 128 +momentum=0.9 +decay=0.001 +max_batches = 2000 +time_steps=576 +learning_rate=0.1 +policy=steps +steps=1000,1500 +scales=.1,.1 + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[connected] +output=256 +activation=leaky + +[softmax] + +[cost] +type=sse + diff --git a/cfg/strided.cfg b/cfg/strided.cfg new file mode 100755 index 0000000..a52700b --- /dev/null +++ b/cfg/strided.cfg @@ -0,0 +1,185 @@ +[net] +batch=128 +subdivisions=4 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.01 +policy=steps +scales=.1,.1,.1 +steps=200000,300000,400000 +max_batches=800000 + + +[crop] +crop_height=224 +crop_width=224 +flip=1 +angle=0 +saturation=1 +exposure=1 +shift=.2 + +[convolutional] +filters=64 +size=7 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=192 +size=3 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=3 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=1024 +size=3 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=ramp + +[maxpool] +size=3 +stride=2 + +[connected] +output=4096 +activation=ramp + +[dropout] +probability=0.5 + +[connected] +output=1000 +activation=ramp + +[softmax] + +[cost] +type=sse + diff --git a/cfg/t1.test.cfg b/cfg/t1.test.cfg new file mode 100755 index 0000000..b362811 --- /dev/null +++ b/cfg/t1.test.cfg @@ -0,0 +1,117 @@ +[net] +batch=1 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.0005 +policy=steps +steps=200,400,600,20000,30000 +scales=2.5,2,2,.1,.1 +max_batches = 40000 + +[convolutional] +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[connected] +output= 1470 +activation=linear + +[detection] +classes=20 +coords=4 +rescore=1 +side=7 +num=2 +softmax=0 +sqrt=1 +jitter=.2 + +object_scale=1 +noobject_scale=.5 +class_scale=1 +coord_scale=5 + diff --git a/cfg/tiny-yolo-voc.cfg b/cfg/tiny-yolo-voc.cfg new file mode 100755 index 0000000..1f33c35 --- /dev/null +++ b/cfg/tiny-yolo-voc.cfg @@ -0,0 +1,134 @@ +[net] +batch=64 +subdivisions=8 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 40100 +policy=steps +steps=-1,100,20000,30000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +########### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=125 +activation=linear + +[region] +anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=20 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/cfg/tiny-yolo.cfg b/cfg/tiny-yolo.cfg new file mode 100755 index 0000000..5580098 --- /dev/null +++ b/cfg/tiny-yolo.cfg @@ -0,0 +1,134 @@ +[net] +batch=64 +subdivisions=8 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +########### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/cfg/tiny.cfg b/cfg/tiny.cfg new file mode 100755 index 0000000..99c2603 --- /dev/null +++ b/cfg/tiny.cfg @@ -0,0 +1,172 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=320 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +angle=7 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=16 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=16 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/vgg-16.cfg b/cfg/vgg-16.cfg new file mode 100755 index 0000000..2b6f702 --- /dev/null +++ b/cfg/vgg-16.cfg @@ -0,0 +1,153 @@ +[net] +batch=128 +subdivisions=4 +height=256 +width=256 +channels=3 +learning_rate=0.00001 +momentum=0.9 +decay=0.0005 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +exposure=1 +saturation=1 +angle=0 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=1000 +activation=linear + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/cfg/vgg-conv.cfg b/cfg/vgg-conv.cfg new file mode 100755 index 0000000..21e1d72 --- /dev/null +++ b/cfg/vgg-conv.cfg @@ -0,0 +1,121 @@ +[net] +batch=1 +subdivisions=1 +width=224 +height=224 +channels=3 +learning_rate=0.00001 +momentum=0.9 +decay=0.0005 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + diff --git a/cfg/voc.data b/cfg/voc.data new file mode 100755 index 0000000..eb6af25 --- /dev/null +++ b/cfg/voc.data @@ -0,0 +1,6 @@ +classes= 20 +train = /home/pjreddie/data/voc/train.txt +valid = /home/pjreddie/data/voc/2007_test.txt +names = data/voc.names +backup = /home/pjreddie/backup/ + diff --git a/cfg/writing.cfg b/cfg/writing.cfg new file mode 100755 index 0000000..1ed899b --- /dev/null +++ b/cfg/writing.cfg @@ -0,0 +1,41 @@ +[net] +batch=128 +subdivisions=2 +height=256 +width=256 +channels=3 +learning_rate=0.00000001 +momentum=0.9 +decay=0.0005 +seen=0 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1 +size=3 +stride=1 +pad=1 +activation=logistic + +[cost] + diff --git a/cfg/yolo-voc.cfg b/cfg/yolo-voc.cfg new file mode 100755 index 0000000..ceb3f2a --- /dev/null +++ b/cfg/yolo-voc.cfg @@ -0,0 +1,244 @@ +[net] +batch=64 +subdivisions=8 +height=416 +width=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.0001 +max_batches = 45000 +policy=steps +steps=100,25000,35000 +scales=10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=125 +activation=linear + +[region] +anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=20 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/yolo.cfg b/cfg/yolo.cfg new file mode 100755 index 0000000..fda339a --- /dev/null +++ b/cfg/yolo.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + + +####### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/cfg/yolo_2class_airport_7x7.cfg b/cfg/yolo_2class_airport_7x7.cfg new file mode 100644 index 0000000..8664831 --- /dev/null +++ b/cfg/yolo_2class_airport_7x7.cfg @@ -0,0 +1,235 @@ +[net] +batch=64 +subdivisions=64 +height=448 +width=448 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.001 +policy=steps +steps=200,400,600,20000,30000 +scales=2.5,2,2,.1,.1 +max_batches = 40000 + +[crop] +crop_width=448 +crop_height=448 +flip=0 +angle=0 +saturation = 1.5 +exposure = 1.5 + +[convolutional] +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +####### + +[convolutional] +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=3 +stride=2 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[connected] +output=4096 +activation=leaky + +[dropout] +probability=.5 + +[connected] +output= 1470 +activation=linear + +[detection] +classes=20 +coords=4 +rescore=1 +side=7 +num=2 +softmax=0 +sqrt=1 +jitter=.2 + +object_scale=1 +noobject_scale=.5 +class_scale=1 +coord_scale=5 + diff --git a/data/boat_airplane_list.txt b/data/boat_airplane_list.txt new file mode 100644 index 0000000..242cf90 --- /dev/null +++ b/data/boat_airplane_list.txt @@ -0,0 +1,130 @@ +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2490.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2490_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2490_rot90.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2988.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2988_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_0_2988_rot270.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2739.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2739_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2739_rot270.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2988.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2988_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_249_2988_rot270.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_0.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_0_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_0_rot90.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2739.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2739_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2739_rot270.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2988.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2988_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb0_498_2988_rot90.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb1_1245_1494.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb1_1245_1494_ud.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb1_1245_1494_rot90.jpg +/raid/local/src/yolt2/training_datasets/rio_planes_312/training_data/images/slice_airplane_rgb1_1494_1992.jpg 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a/data/category_label_images/make_labels.py b/data/category_label_images/make_labels.py new file mode 100755 index 0000000..b5b57e5 --- /dev/null +++ b/data/category_label_images/make_labels.py @@ -0,0 +1,20 @@ +import os +root_dir = '/Users/avanetten/Documents/cosmiq/yolo/darknet/data/labels' + +l0 = ["person","bicycle","car","motorcycle","airplane","bus","train","truck","boat","traffic light","fire hydrant","stop sign","parking meter","bench","bird","cat","dog","horse","sheep","cow","elephant","bear","zebra","giraffe","backpack","umbrella","handbag","tie","suitcase","frisbee","skis","snowboard","sports ball","kite","baseball bat","baseball glove","skateboard","surfboard","tennis racket","bottle","wine glass","cup","fork","knife","spoon","bowl","banana","apple","sandwich","orange","broccoli","carrot","hot dog","pizza","donut","cake","chair","couch","potted plant","bed","dining table","toilet","tv","laptop","mouse","remote","keyboard","cell phone","microwave","oven","toaster","sink","refrigerator","book","clock","vase","scissors","teddy bear","hair drier","toothbrush", "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"] + +# legacy +l1 = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"] + +l2 = ["boat", "dock", "boat_harbor"] + +l = l0 + l1 + l2 + +#for word in l: +# os.system("convert -fill black -background white -bordercolor white -border 4 -font futura-normal -pointsize 18 label:\"%s\" \"%s.png\""%(word, word)) + + +for word in l: + os.chdir(root_dir) + os.system("convert -fill black -background white -bordercolor white -border 4 -font Helvetica -pointsize 18 label:\"%s\" \"%s.png\""%(word, word)) + diff --git 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+puffball +Geastrum coronatum +Astreus pteridis +Astreus hygrometricus +polypore +Boletus chrysenteron +Boletus edulis +Frost's bolete +Boletus luridus +Boletus mirabilis +Boletus pallidus +Boletus pulcherrimus +Boletus pulverulentus +Boletus roxanae +Boletus subvelutipes +Boletus variipes +Boletus zelleri +Fuscoboletinus paluster +Fuscoboletinus serotinus +Leccinum fibrillosum +Suillus albivelatus +old-man-of-the-woods +Boletellus russellii +jelly fungus +rust +smut +cornsmut +flag smut fungus +waxycap +Hygrocybe acutoconica +Hygrophorus borealis +Hygrophorus caeruleus +Hygrophorus inocybiformis +Hygrophorus kauffmanii +Hygrophorus marzuolus +Hygrophorus purpurascens +Hygrophorus russula +Hygrophorus sordidus +Hygrophorus tennesseensis +Hygrophorus turundus +Neohygrophorus angelesianus +Cortinarius armillatus +Cortinarius atkinsonianus +Cortinarius corrugatus +Cortinarius gentilis +Cortinarius mutabilis +Cortinarius semisanguineus +Cortinarius subfoetidus +Cortinarius violaceus 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+font = 'futura-normal' + +def make_labels(s): + l = string.printable + for word in l: + if word == ' ': + os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\ " 32_%d.png'%(font,s,s/12-1)) + if word == '@': + os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\@" 64_%d.png'%(font,s,s/12-1)) + elif word == '\\': + os.system('convert -fill black -background white -bordercolor white -font %s -pointsize %d label:"\\\\\\\\" 92_%d.png'%(font,s,s/12-1)) + elif ord(word) in [9,10,11,12,13,14]: + pass + else: + os.system("convert -fill black -background white -bordercolor white -font %s -pointsize %d label:%s \"%d_%d.png\""%(font,s,pipes.quote(word), ord(word),s/12-1)) + +for i in [12,24,36,48,60,72,84,96]: + make_labels(i) + diff --git a/data/voc.names b/data/voc.names new file mode 100755 index 0000000..8420ab3 --- /dev/null +++ b/data/voc.names @@ -0,0 +1,20 @@ +aeroplane +bicycle +bird +boat 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