gudovskiy / yoloNCS

YOLO object detector for Movidius Neural Compute Stick (NCS)
MIT License
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py_examples error #13

Open burakipekk opened 6 years ago

burakipekk commented 6 years ago

Hi Everyone I am getting error like below , could you please help me? Camera light is on and I installed OPENCV that was explained in 'http://milq.github.io/install-opencv-ubuntu-debian/' with OPTION 2. All examples work fine but I am still getting error like below. (ValueError: cannot reshape array of size 16922 into shape (7,7,2,4) this line looks like in trouble but I dont know how I can solve.)

[DEBUG/MainProcess] created semlock with handle 140701902925824 [DEBUG/MainProcess] created semlock with handle 140701902921728 [DEBUG/MainProcess] created semlock with handle 140701902917632 [DEBUG/MainProcess] Queue._after_fork() [DEBUG/MainProcess] created semlock with handle 140701902913536 [DEBUG/MainProcess] created semlock with handle 140701902909440 [DEBUG/MainProcess] created semlock with handle 140701902905344 [DEBUG/MainProcess] Queue._after_fork() Found stale device, resetting Device 0 Address: 1.3.3 - VID/PID 03e7:2150 Starting wait for connect with 2000ms timeout Found Address: 1.3.3 - VID/PID 03e7:2150 Found EP 0x81 : max packet size is 512 bytes Found EP 0x01 : max packet size is 512 bytes Found and opened device Performing bulk write of 865724 bytes... Successfully sent 865724 bytes of data in 214.364144 ms (3.851478 MB/s) Boot successful, device address 1.3.3 Found Address: 1.3.3 - VID/PID 03e7:f63b done Booted 1.3.3 -> VSC [DEBUG/MainProcess] created semlock with handle 140701902901248 [DEBUG/MainProcess] created semlock with handle 140701902897152 [DEBUG/MainProcess] created semlock with handle 140701902893056 [DEBUG/MainProcess] created semlock with handle 140701902888960 [DEBUG/MainProcess] added worker [DEBUG/ForkPoolWorker-1] Queue._after_fork() [DEBUG/ForkPoolWorker-1] Queue._after_fork() [INFO/ForkPoolWorker-1] child process calling self.run() [DEBUG/MainProcess] added worker [DEBUG/ForkPoolWorker-2] Queue._after_fork() [DEBUG/ForkPoolWorker-2] Queue._after_fork() [INFO/ForkPoolWorker-2] child process calling self.run() [DEBUG/MainProcess] Queue._start_thread() [DEBUG/MainProcess] doing self._thread.start() [DEBUG/MainProcess] starting thread to feed data to pipe [DEBUG/MainProcess] ... done self._thread.start() /usr/local/lib/python3.5/dist-packages/skimage/transform/_warps.py:84: UserWarning: The default mode, 'constant', will be changed to 'reflect' in skimage 0.15. warn("The default mode, 'constant', will be changed to 'reflect' in " [INFO/ForkPoolWorker-1] process shutting down [DEBUG/ForkPoolWorker-1] running all "atexit" finalizers with priority >= 0 [DEBUG/ForkPoolWorker-1] running the remaining "atexit" finalizers Process ForkPoolWorker-1: Traceback (most recent call last): File "/usr/lib/python3.5/multiprocessing/process.py", line 249, in _bootstrap self.run() File "/usr/lib/python3.5/multiprocessing/process.py", line 93, in run self._target(*self._args, self._kwargs) File "/usr/lib/python3.5/multiprocessing/pool.py", line 103, in worker initializer(initargs) File "py_examples/object_detection_app.py", line 115, in worker results = interpret_output(out.astype(np.float32), frame.shape[1], frame.shape[0]) File "py_examples/object_detection_app.py", line 55, in interpret_output boxes = (np.reshape(output[1078:],(7,7,2,4))) File "/usr/local/lib/python3.5/dist-packages/numpy/core/fromnumeric.py", line 232, in reshape return _wrapfunc(a, 'reshape', newshape, order=order) File "/usr/local/lib/python3.5/dist-packages/numpy/core/fromnumeric.py", line 57, in _wrapfunc return getattr(obj, method)(args, kwds) ValueError: cannot reshape array of size 16922 into shape (7,7,2,4) [INFO/ForkPoolWorker-1] process exiting with exitcode 1 [DEBUG/MainProcess] cleaning up worker 0 [Level 5/MainProcess] finalizer calling with args (19,) and kwargs {} [DEBUG/MainProcess] added worker [DEBUG/ForkPoolWorker-3] Queue._after_fork() [DEBUG/ForkPoolWorker-3] Queue._after_fork() [INFO/ForkPoolWorker-3] child process calling self.run()

alexnf333 commented 6 years ago

Hello burakipekk, I'm having the same problem, could you solve it? Or do you have any idea of how to?

Thanks in advance! Best regards.