Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "requests/models.py", line 259, in prepare

hooks=self.hooks,


 "requests/models.py", line 305, in prepare

self.prepare_url(url, params)


 "requests/models.py", line 423, in prepare_url

enc_params = self._encode_params(params)


 "requests/models.py", line 105, in _encode_params

return urlencode(result, doseq=True)


 "/usr/lib/python2.7/urllib.py", line 1349, in urlencode

v = quote_plus(v)


 "/usr/lib/python2.7/urllib.py", line 1306, in quote_plus

return quote(s, safe)


 "/usr/lib/python2.7/urllib.py", line 1299, in quote

return ''.join(map(quoter, s))
KeyError: 98

Traceback (most recent call last):


 "demo.py", line 280, in <module>

fps_pred, y_pred = model_conv(x)


 "D:\Development\DevelopmentEnvironment\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 489, in __call__

result = self.forward(*input, **kwargs)


 "D:\Development\DevelopmentEnvironment\Miniconda3\lib\site-packages\torch\nn\parallel\data_parallel.py", line 141, in forward

return self.module(*inputs[0], **kwargs[0])


 "D:\Development\DevelopmentEnvironment\Miniconda3\lib\site-packages\torch\nn\modules\module.py", line 489, in __call__

result = self.forward(*input, **kwargs)


 "demo.py", line 210, in forward

roi1 = roi_pooling_ims(_x1, boxNew.mm(p1), size=(16, 8))


 "D:\Development\DevelopmentProject\Python\CCPD-master\rpnet\roi_pooling.py", line 73, in roi_pooling_ims

output.append(adaptive_max_pool(im, size))


 "D:\Development\DevelopmentProject\Python\CCPD-master\rpnet\roi_pooling.py", line 35, in adaptive_max_pool

return AdaptiveMaxPool2d(size[0], size[1])(input)


 "D:\Development\DevelopmentProject\Python\CCPD-master\rpnet\roi_pooling.py", line 18, in forward

self._backend = type2backend[type(input)]


 "D:\Development\DevelopmentEnvironment\Miniconda3\lib\site-packages\torch\_thnn\__init__.py", line 15, in __getitem__

return self.backends[name].load()
KeyError: <class 'torch.Tensor'>
