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FP16 inference fix

This commit is contained in:
Glenn Jocher 2020-06-14 18:45:20 -07:00
parent c6fc4242a2
commit 157aff2854
1 changed files with 5 additions and 4 deletions
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9
test.py
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@ -13,15 +13,15 @@ def test(data,
batch_size=16, batch_size=16,
imgsz=640, imgsz=640,
conf_thres=0.001, conf_thres=0.001,
iou_thres=0.6, # for nms iou_thres=0.6, # for NMS
save_json=False, save_json=False,
single_cls=False, single_cls=False,
augment=False, augment=False,
half=False, # FP16
model=None, model=None,
dataloader=None, dataloader=None,
fast=False, fast=False,
verbose=False, verbose=False):
half=False): # FP16
# Initialize/load model and set device # Initialize/load model and set device
if model is None: if model is None:
device = torch_utils.select_device(opt.device, batch_size=batch_size) device = torch_utils.select_device(opt.device, batch_size=batch_size)
@ -268,7 +268,8 @@ if __name__ == '__main__':
opt.iou_thres, opt.iou_thres,
opt.save_json, opt.save_json,
opt.single_cls, opt.single_cls,
opt.augment) opt.augment,
opt.half)
elif opt.task == 'study': # run over a range of settings and save/plot elif opt.task == 'study': # run over a range of settings and save/plot
for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']: for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']: