Pretrained Weights

Deep-Route (FCN) - PyTorch

• saved_model_params_batchsize10
• saved_model_params_batchsize100

AlexNet (caffe2tf)

If python-3, use correct encoding to load: np.load('data_path', encoding='latin1').item()

• alexnet_caffe2tf.npy

VGG (caffe2tf)

If python-3, use correct encoding to load: np.load('data_path', encoding='latin1').item()

• vgg16_caffe2tf.npy
• vgg16_feature_extractor_caffe2tf.npy

VGG (tf-slim)

• vgg16_slim.ckpt
• vgg19_slim.ckpt

Inception (caffe2tf)

If python-3, use correct encoding to load: np.load('data_path', encoding='latin1').item()

• inception_v1_lrn_caffe2tf.npy
• inception_v1_no_lrn_caffe2tf.npy

Inception (tf-slim)

• inception_v1_bn_slim.ckpt
• inception_v2_slim.ckpt
• inception_v3_slim.ckpt
• inception_v4_slim.ckpt

Inception (keras)

• inception_v1_lrn_weights_NCHW_tf_kernels.h5
• inception_v1_lrn_weights_NCHW_th_kernels.h5
• inception_v1_bn_weights_NHWC_tf_kernels.h5
• inception_v1_bn_weights_NHWC_tf_kernels_notop.h5

Resnet (tf-slim)

• resnet_v1_50_slim.ckpt
• resnet_v1_101_slim.ckpt
• resnet_v1_152_slim.ckpt

SqueezeNet (caffe2tf)

If python-3, use correct encoding to load: np.load('data_path', encoding='latin1').item()

• squeezenet_1p1_caffe2tf.npy
• squeezenet_1p1_feature_extractor_caffe2tf.npy

MobileNet (caffe2tf)

If python-3, use correct encoding to load: np.load('data_path', encoding='latin1').item()

• mobilenet_v1_caffe2tf.npy
• mobilenet_v1_feature_extractor_caffe2tf.npy

MobileNet (tf-slim)

• mobilenet_v1_1.0_224.tgz
• mobilenet_v2_1.0_224.tgz

Yolo (darknet)

• yolov2.weights
• yolov2-tiny.weights
• yolov3.weights
• yolov3-tiny.weights
• darknet19.weights
• darknet19_448.weights