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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-02-08 15:13:44 +01:00
parent 88804cad3b
commit 8b9aae484b
1 changed files with 1 additions and 12 deletions
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detect.py
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@ -41,17 +41,6 @@ def detect(
else: # darknet format
load_weights(model, weights_file_path)
# current = model.state_dict()
# saved = checkpoint['model']
# # 1. filter out unnecessary keys
# saved = {k: v for k, v in saved.items() if ((k in current) and (current[k].shape == v.shape))}
# # 2. overwrite entries in the existing state dict
# current.update(saved)
# # 3. load the new state dict
# model.load_state_dict(current)
# model.to(device).eval()
# del checkpoint, current, saved
model.to(device).eval()
# Set Dataloader
@ -69,7 +58,7 @@ def detect(
# cv2.imwrite('zidane_416.jpg', 255 * img.transpose((1, 2, 0))[:, :, ::-1]) # letterboxed
img = torch.from_numpy(img).unsqueeze(0).to(device)
if ONNX_EXPORT:
pred = torch.onnx._export(model, img, 'weights/model.onnx', verbose=True);
pred = torch.onnx._export(model, img, 'weights/model.onnx', verbose=True)
return # ONNX export
pred = model(img)
pred = pred[pred[:, :, 4] > conf_thres]