aa64535e1d
* add csrnet * Add update result jpg CSRNet Inference result * fix pr format * add density plot code and update README.md fix img src --------- Co-authored-by: liulf <liulf@nncsys.com>
31 lines
845 B
Python
31 lines
845 B
Python
from torch.nn.modules import module
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from model import CSRNet
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import torch
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import os
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import struct
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save_path = os.path.join(os.path.dirname(
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__file__), "output", os.path.basename(__file__).split('.')[0])
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os.makedirs(save_path, exist_ok=True)
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wts_file = os.path.join(save_path, "csrnet.wts")
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# load model
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model_path = "partBmodel_best.pth.tar"
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model = CSRNet()
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checkpoint = torch.load(model_path)
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model.load_state_dict(checkpoint['state_dict'])
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# save to wts
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print(f'Writing into {wts_file}')
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with open(wts_file, 'w') as f:
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f.write('{}\n'.format(len(model.state_dict().keys())))
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for k, v in model.state_dict().items():
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vr = v.reshape(-1).cpu().numpy()
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f.write('{} {} '.format(k, len(vr)))
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for vv in vr:
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f.write(' ')
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f.write(struct.pack('>f', float(vv)).hex())
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f.write('\n') |