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Rearrange export input after checks (#1118)

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img size checks are warnings rather than errors, so current implementation allows improperly formed model inputs.
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Glenn Jocher 2020-10-11 16:23:36 +02:00 committed by GitHub
parent d87cf7ecb9
commit d45e349a1e
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1 changed files with 3 additions and 3 deletions
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models/export.py
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@ -29,9 +29,6 @@ if __name__ == '__main__':
set_logging() set_logging()
t = time.time() t = time.time()
# Input
img = torch.zeros((opt.batch_size, 3, *opt.img_size)) # image size(1,3,320,192) iDetection
# Load PyTorch model # Load PyTorch model
model = attempt_load(opt.weights, map_location=torch.device('cpu')) # load FP32 model model = attempt_load(opt.weights, map_location=torch.device('cpu')) # load FP32 model
labels = model.names labels = model.names
@ -40,6 +37,9 @@ if __name__ == '__main__':
gs = int(max(model.stride)) # grid size (max stride) gs = int(max(model.stride)) # grid size (max stride)
opt.img_size = [check_img_size(x, gs) for x in opt.img_size] # verify img_size are gs-multiples opt.img_size = [check_img_size(x, gs) for x in opt.img_size] # verify img_size are gs-multiples
# Input
img = torch.zeros(opt.batch_size, 3, *opt.img_size) # image size(1,3,320,192) iDetection
# Update model # Update model
for k, m in model.named_modules(): for k, m in model.named_modules():
m._non_persistent_buffers_set = set() # pytorch 1.6.0 compatibility m._non_persistent_buffers_set = set() # pytorch 1.6.0 compatibility