train error

[SreenijaK]

when i run tfnet.train()
i get the following error
ValueError: Cannot feed value of shape (8, 608, 608, 3) for Tensor 'input:0', which has shape '(?, 608, 608, 1)'

[deep-diver]

Are you using your own custom dataset? Looks like the image you are using has only one channel which means black & white. If that is true, please make it to have 3 channels.

[SreenijaK]

Hi thank you . i changed the channels to one previously changing it back to 3 worked. I'm training with your data. Now i get the following error
InvalidArgumentError: Input to reshape is a tensor with 1227400 values, but the requested shape requires a multiple of 10830
[[Node: Reshape = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](BiasAdd_22, Reshape/shape)]]

[deep-diver]

I am wondering where "reshape" is happening?

[SreenijaK]

F:/bp/computer_vision/yolo_train/data/yolo_custom.cfg parsing F:/bp/computer_vision/yolo_train/data/annotations/
Parsing for ['ball']
[====================>]100% scene21261.xml
Statistics:
ball: 177
Dataset size: 191
Dataset of 191 instance(s)
Training statistics:
Learning rate : 1e-05
Batch size : 8
Epoch number : 100
Backup every : 2000
Traceback (most recent call last):

File "", line 1, in
runfile('F:/bp/computer_vision/yolo_train/train.py', wdir='F:/bp/computer_vision/yolo_train')

File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)

File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "F:/bp/computer_vision/yolo_train/train.py", line 26, in
tfnet.train()

File "f:\bp\computer_vision\yolo_train\darkflow\darkflow\net\flow.py", line 56, in train
fetched = self.sess.run(fetches, feed_dict)

File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 877, in run
run_metadata_ptr)

File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1100, in _run
feed_dict_tensor, options, run_metadata)

File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1272, in _do_run
run_metadata)

File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1291, in _do_call
raise type(e)(node_def, op, message)

InvalidArgumentError: Input to reshape is a tensor with 1227400 values, but the requested shape requires a multiple of 10830
[[Node: Reshape = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](BiasAdd_22, Reshape/shape)]]

Caused by op 'Reshape', defined at:
File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 269, in
main()
File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 265, in main
kernel.start()
File "C:\Users\hi\Anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 486, in start
self.io_loop.start()
File "C:\Users\hi\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 127, in start
self.asyncio_loop.run_forever()
File "C:\Users\hi\Anaconda3\lib\asyncio\base_events.py", line 422, in run_forever
self._run_once()
File "C:\Users\hi\Anaconda3\lib\asyncio\base_events.py", line 1432, in _run_once
handle._run()
File "C:\Users\hi\Anaconda3\lib\asyncio\events.py", line 145, in _run
self._callback(*self._args)
File "C:\Users\hi\Anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 117, in _handle_events
handler_func(fileobj, events)
File "C:\Users\hi\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\hi\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "C:\Users\hi\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\hi\Anaconda3\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "C:\Users\hi\Anaconda3\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\hi\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\hi\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "C:\Users\hi\Anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\Users\hi\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:\Users\hi\Anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Users\hi\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2662, in run_cell
raw_cell, store_history, silent, shell_futures)
File "C:\Users\hi\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2785, in _run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Users\hi\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2909, in run_ast_nodes
if self.run_code(code, result):
File "C:\Users\hi\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 1, in
runfile('F:/bp/computer_vision/yolo_train/train.py', wdir='F:/bp/computer_vision/yolo_train')
File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 705, in runfile
execfile(filename, namespace)
File "C:\Users\hi\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "F:/bp/computer_vision/yolo_train/train.py", line 24, in
tfnet = TFNet(options)
File "f:\bp\computer_vision\yolo_train\darkflow\darkflow\net\build.py", line 76, in init
self.setup_meta_ops()
File "f:\bp\computer_vision\yolo_train\darkflow\darkflow\net\build.py", line 139, in setup_meta_ops
if self.FLAGS.train: self.build_train_op()
File "f:\bp\computer_vision\yolo_train\darkflow\darkflow\net\help.py", line 15, in build_train_op
self.framework.loss(self.out)
File "f:\bp\computer_vision\yolo_train\darkflow\darkflow\net\yolov2\train.py", line 56, in loss
net_out_reshape = tf.reshape(net_out, [-1, H, W, B, (4 + 1 + C)])
File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 7434, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 454, in new_func
return func(*args, **kwargs)
File "C:\Users\hi\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3155, in create_op
op_def=op_def)
File "C:\Users\hi\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 1227400 values, but the requested shape requires a multiple of 10830
[[Node: Reshape = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](BiasAdd_22, Reshape/shape)]]

[deep-diver]

Looks like you have an invalid shape of image to convert to 10830 which is?
I want to know, each values of H, W, B, and C. Also shape or net_out should be delivered as well.

[SreenijaK]

where do i check for those values

[deep-diver]

why dont you write codes?

[SreenijaK]

These are the values h-19, w-19, b-5, c-1
net_out_reshape is Tensor("Reshape:0", shape=(?, 19, 19, 5, 6), dtype=float32)

[deep-diver]

yeah net_out_reshape must be (?, 19, 19, 5, 6), but would it be convertible for net_out to net_out_reshape? In order to know, I need to know the shape of net_out as well.