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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-23 10:33:58 -08:00
parent 209cc9e124
commit 06e88fec08
1 changed files with 3 additions and 5 deletions
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8
utils/utils.py
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@ -487,7 +487,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
# NMS methods https://github.com/ultralytics/yolov3/issues/679 'or', 'and', 'merge', 'vision', 'vision_batch'
# Box constraints
min_wh, max_wh = 2, 10000 # (pixels) minimum and maximium box width and height
min_wh, max_wh = 2, 4096 # (pixels) minimum and maximium box width and height
output = [None] * len(prediction)
for image_i, pred in enumerate(prediction):
@ -524,8 +524,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
# Batched NMS
if method == 'vision_batch':
i = torchvision.ops.boxes.batched_nms(pred[:, :4], pred[:, 4], pred[:, 5], nms_thres)
output[image_i] = pred[i]
output[image_i] = pred[torchvision.ops.boxes.batched_nms(pred[:, :4], pred[:, 4], pred[:, 5], nms_thres)]
continue
# All other NMS methods
@ -541,8 +540,7 @@ def non_max_suppression(prediction, conf_thres=0.5, nms_thres=0.5, multi_cls=Tru
dc = dc[:500] # limit to first 500 boxes: https://github.com/ultralytics/yolov3/issues/117
if method == 'vision':
i = torchvision.ops.boxes.nms(dc[:, :4], dc[:, 4], nms_thres)
det_max.append(dc[i])
det_max.append(dc[torchvision.ops.boxes.nms(dc[:, :4], dc[:, 4], nms_thres)])
elif method == 'or': # default
# METHOD1