关于deep-sort yolov3的运行错误

[AIrobot6]

你好 看到您的关于deep-sort yolov3的文章，下载下来不能正常运行显示报错，Windows 下
Input to reshape is a tensor with 3549 values, but the requested shape requires a multiple of 43095
[[Node:Reshape_75=Reshape[T=DT_FLOAT,Tshape=DT_INT32,_device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_59_4/BiasAdd, Reshape_75/shape)]]
一直没有找到问题的根源 特别写了这封邮件 寻求您的帮助，希望您给一些详细的使用教程 期待您的回复。 谢谢

[lyp-deeplearning]

@AIrobot6 Thanks for your question. If you run at the windows platform, i think you can check your tensorflow version firstly. Because keras uses the tensorflow as the back.
1、pip show tensorflow
2、you can use command :pip install --upgrade tensorflow
And if your version is 1.10.0 for tensorflow-CPU, the code can run but the speed is a little slow

[AIrobot6]

@AIrobot6 Thanks for your question. If you run at the windows platform, i think you can check your tensorflow version firstly. Because keras uses the tensorflow as the back.
1、pip show tensorflow
2、you can use command :pip install --upgrade tensorflow
And if your version is 1.10.0 for tensorflow-CPU, the code can run but the speed is a little slow

你好 ，我的是您说的那个版本，错误依然没有解决？

[lyp-deeplearning]

@AIrobot6 你在更新完tensorflow版本后，有没有重新下载keras，还有你运行的是摄像头还是视频

[lyp-deeplearning]

@AIrobot6 之前有人也是遇到你这个问题，更新完tensorflow的版本问题就解决了

[lyp-deeplearning]

@AIrobot6 https://blog.csdn.net/liuxiao214/article/details/78241193
建议你运行的时候定位下是哪一行出了错，这个版本的原版是在https://github.com/Qidian213/deep_sort_yolov3，你可以在它那里查查

[AIrobot6]

@ AIrobot6你在更新完tensorflow版本后，有没有重新下载keras，还有你运行的是摄像头还是视频

视频 摄像头都是这个错误，这是全部的报错。对于这个错误不知道从哪里下手。已经更新和重新下载
InvalidArgumentError: Input to reshape is a tensor with 3549 values, but the requested shape requires a multiple of 43095
[[Node: Reshape_3 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_59/BiasAdd, Reshape_3/shape)]]

Caused by op 'Reshape_3', defined at:
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel_launcher.py", line 16, in
app.launch_new_instance()
File "C:\ProgramData\Anaconda3\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 486, in start
self.io_loop.start()
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 127, in start
self.asyncio_loop.run_forever()
File "C:\ProgramData\Anaconda3\lib\asyncio\base_events.py", line 422, in run_forever
self._run_once()
File "C:\ProgramData\Anaconda3\lib\asyncio\base_events.py", line 1432, in _run_once
handle._run()
File "C:\ProgramData\Anaconda3\lib\asyncio\events.py", line 145, in _run
self._callback(*self._args)
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 117, in _handle_events
handler_func(fileobj, events)
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2662, in run_cell
raw_cell, store_history, silent, shell_futures)
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2785, in _run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2903, in run_ast_nodes
if self.run_code(code, result):
File "C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2963, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 116, in
main(YOLO())
File "C:\Users\Administrator\Desktop\66666\新建文件夹\deep_sort_yolov3-master\yolo.py", line 33, in init
self.boxes, self.scores, self.classes = self.generate()
File "C:\Users\Administrator\Desktop\66666\新建文件夹\deep_sort_yolov3-master\yolo.py", line 72, in generate
score_threshold=self.score, iou_threshold=self.iou)
File "C:\Users\Administrator\Desktop\66666\新建文件夹\deep_sort_yolov3-master\yolo3\model.py", line 170, in yolo_eval
anchors[anchor_mask[l]], num_classes, input_shape, image_shape)
File "C:\Users\Administrator\Desktop\66666\新建文件夹\deep_sort_yolov3-master\yolo3\model.py", line 148, in yolo_boxes_and_scores
anchors, num_classes, input_shape)
File "C:\Users\Administrator\Desktop\66666\新建文件夹\deep_sort_yolov3-master\yolo3\model.py", line 105, in yolo_head
feats, [-1, grid_shape[0], grid_shape[1], num_anchors, num_classes + 5])
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 1947, in reshape
return tf.reshape(x, shape)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6198, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 454, in new_func
return func(*args, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3155, in create_op
op_def=op_def)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1717, in init
self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Input to reshape is a tensor with 3549 values, but the requested shape requires a multiple of 43095
[[Node: Reshape_3 = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](conv2d_59/BiasAdd, Reshape_3/shape)]]

[lyp-deeplearning]

应该还需要安装skelearn,opencv的依赖库，我是直接用纯python里面的pip安装的python以及各种库，我不知道是否有可能是因为你使用的是anaconda造成的这种原因

[AIrobot6]

应该还需要安装skelearn,opencv的依赖库，我是直接用纯python里面的pip安装的python以及各种库，我不知道是否有可能是因为你使用的是anaconda造成的这种原因

请问是sklean 还是sklearn??

[lyp-deeplearning]

https://github.com/Qidian213/deep_sort_yolov3, 你去这个项目里看看具体的需要什么，你看看按照原版你能使用吗

[AIrobot6]

https://github.com/Qidian213/deep_sort_yolov3, 你去这个项目里看看具体的需要什么，你看看按照原版你能使用吗

原版也是会出现这种错误，