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torch.ops.torchvision.nms (ultralytics#860)
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Don't load the entire torchvision library just for nms when the function is already in the torch library.
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rafale77 authored Aug 27, 2020
1 parent 0c01afc commit 9776e70
Showing 1 changed file with 1 addition and 2 deletions.
3 changes: 1 addition & 2 deletions utils/general.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@
import numpy as np
import torch
import torch.nn as nn
import torchvision
import yaml
from scipy.cluster.vq import kmeans
from scipy.signal import butter, filtfilt
Expand Down Expand Up @@ -651,7 +650,7 @@ def non_max_suppression(prediction, conf_thres=0.1, iou_thres=0.6, merge=False,
# Batched NMS
c = x[:, 5:6] * (0 if agnostic else max_wh) # classes
boxes, scores = x[:, :4] + c, x[:, 4] # boxes (offset by class), scores
i = torchvision.ops.boxes.nms(boxes, scores, iou_thres)
i = torch.ops.torchvision.nms(boxes, scores, iou_thres)
if i.shape[0] > max_det: # limit detections
i = i[:max_det]
if merge and (1 < n < 3E3): # Merge NMS (boxes merged using weighted mean)
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