VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV Unable to stop the stream: Device or resource busy OpenCV(3.4.1) Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, file /io/opencv/modules/imgproc/src/color.cpp, line 11115 Error converting to RGB

[monajalal]

so when I run the detect_single_threaded.py I get the following error:

mona@Mona:~/code/handpose/handtracking$ python detect_single_threaded.py 
/home/mona/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
> ====== loading HAND frozen graph into memory
2018-06-25 15:41:14.073745: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-06-25 15:41:14.166765: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties: 
name: TITAN Xp major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:01:00.0
totalMemory: 11.90GiB freeMemory: 10.81GiB
2018-06-25 15:41:14.166792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0
2018-06-25 15:41:14.357558: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-06-25 15:41:14.357588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929]      0 
2018-06-25 15:41:14.357593: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0:   N 
2018-06-25 15:41:14.357801: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10461 MB memory) -> physical GPU (device: 0, name: TITAN Xp, pci bus id: 0000:01:00.0, compute capability: 6.1)
>  ====== Hand Inference graph loaded.
VIDEOIO ERROR: V4L2: Pixel format of incoming image is unsupported by OpenCV
Unable to stop the stream: Device or resource busy
OpenCV(3.4.1) Error: Assertion failed (scn == 3 || scn == 4) in cvtColor, file /io/opencv/modules/imgproc/src/color.cpp, line 11115
Error converting to RGB
Traceback (most recent call last):
  File "detect_single_threaded.py", line 53, in <module>
    image_np, detection_graph, sess)
  File "/home/mona/code/handpose/handtracking/utils/detector_utils.py", line 90, in detect_objects
    feed_dict={image_tensor: image_np_expanded})
  File "/home/mona/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run
    run_metadata_ptr)
  File "/home/mona/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1104, in _run
    np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
  File "/home/mona/anaconda3/lib/python3.6/site-packages/numpy/core/numeric.py", line 492, in asarray
    return array(a, dtype, copy=False, order=order)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'

I have
$ ls /dev/video*
/dev/video1

and have set the video capture to use device 1. Why do I get this error and how to fix it?

[victordibia]

Hi @monajalal ,

The error you have is related to your camera setup - OpenCV is having difficulty reading your video stream. What kind of machine/camera hardware are you using? The code in this repo is tested on the Macbook pro environment ... for other custom environments, you might need to make modifications.

-V.