I have a question about yolo.weight you provided.
Traceback (most recent call last):
File "demo.py", line 382, in
main(args, cfgs)
File "demo.py", line 78, in main
yolo_img_size=args.yolo_img_size,
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/multi_person_tracker/mpt.py", line 53, in init
device=self.device, img_size=yolo_img_size, person_detector=True, video=True, return_dict=True
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/yolov3/yolo.py", line 51, in init
self.model.load_darknet_weights(weights_path)
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/yolov3/models.py", line 315, in load_darknet_weights
conv_w = torch.from_numpy(weights[ptr : ptr + num_w]).view_as(conv_layer.weight)
RuntimeError: shape '[512, 256, 3, 3]' is invalid for input of size 971393
I have a question about yolo.weight you provided. Traceback (most recent call last): File "demo.py", line 382, in
main(args, cfgs)
File "demo.py", line 78, in main
yolo_img_size=args.yolo_img_size,
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/multi_person_tracker/mpt.py", line 53, in init
device=self.device, img_size=yolo_img_size, person_detector=True, video=True, return_dict=True
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/yolov3/yolo.py", line 51, in init
self.model.load_darknet_weights(weights_path)
File "/root/miniconda3/envs/glot/lib/python3.7/site-packages/yolov3/models.py", line 315, in load_darknet_weights
conv_w = torch.from_numpy(weights[ptr : ptr + num_w]).view_as(conv_layer.weight)
RuntimeError: shape '[512, 256, 3, 3]' is invalid for input of size 971393