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Video Tutorial Series on Mask RCNN

Python 100.00%

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How to output masks using vis_util.visualize_boxes_and_labels_on_image_array?

I cannot output the masks using vis_util.visualize_boxes_and_labels_on_image_array.
It seems that the size of the masks is different from the size of the image

this is the error :
ValueError: The image has spatial dimensions (480, 640) but the mask has dimensions (15, 15)

here is my code.. please correct it.

while(True):
    ret, frame = video.read()
    frame_expanded = np.expand_dims(frame, axis=0)


    (masks, boxes, scores, classes, num) = sess.run([detection_masks,
                                                    detection_boxes,
                                                    detection_scores,
                                                    detection_classes,
                                                    num_detections],
                                                    feed_dict={image_tensor: frame_expanded})

    masks = np.squeeze(masks).astype(np.uint8)

    vis_util.visualize_boxes_and_labels_on_image_array(
        frame,
        np.squeeze(boxes),
        np.squeeze(classes).astype(np.int32),
        np.squeeze(scores),
        category_index,
        instance_masks=masks,
        use_normalized_coordinates=True,
        line_thickness=2)


    cv2.imshow('Object detector', frame)


    if cv2.waitKey(1) == ord('q'):
        break

Unable to fetch frame

Hi AS,

Nice tutorial. Plan to enroll to your courses soon!

Problem : When i run -

python video_demo.py Video.mp4

i get

unable to fetch frame

Is there a problem with the .mp4 format or need to alter the code?

Neither mask_rcnn.yml nor requirements.txt work on Ubuntu 18.04.4

when I try to create an environment with the mask_rcnn.yml file, it returns me the following output:

Solving environment: failed

ResolvePackageNotFound: 
  - wincertstore==0.2=py36h7fe50ca_0
  - freetype==2.9.1=ha9979f8_1
  - mkl==2019.3=203
  - winpty==0.4.3=4
  - pywavelets==1.0.2=py36h8c2d366_0
  - icc_rt==2019.0.0=h0cc432a_1
  - msys2-conda-epoch==20160418=1
  - xz==5.2.4=h2fa13f4_4
  - sqlite==3.27.2=he774522_0
  - openssl==1.1.1b=hfa6e2cd_2
  - libtiff==4.0.10=hb898794_2
  - pyzmq==18.0.0=py36ha925a31_0
  - jpeg==9b=hb83a4c4_2
  - zeromq==4.3.1=h33f27b4_3
  - geos==3.7.1=h33f27b4_0
  - cytoolz==0.9.0.1=py36hfa6e2cd_1
  - h5py==2.8.0=py36hf7173ca_2
  - pywinpty==0.5.5=py36_1000
  - tensorflow==1.13.1=mkl_py36hd212fbe_0
  - tensorboard==1.13.1=py36h33f27b4_0
  - tk==8.6.8=hfa6e2cd_0
  - qt==5.9.7=vc14h73c81de_0
  - scipy==1.2.1=py36h29ff71c_0
  - pyyaml==5.1=py36he774522_0
  - mkl_random==1.0.2=py36h343c172_0
  - nbformat==4.4.0=py36h3a5bc1b_0
  - mock==2.0.0=py36h9086845_0
  - python==3.6.8=h9f7ef89_7
  - mkl_fft==1.0.10=py36h14836fe_0
  - libopencv==3.4.2=h20b85fd_0
  - wcwidth==0.1.7=py36h3d5aa90_0
  - libsodium==1.0.16=h9d3ae62_0
  - py-opencv==3.4.2=py36hc319ecb_0
  - m2w64-gcc-libs-core==5.3.0=7
  - m2w64-libwinpthread-git==5.0.0.4634.697f757=2
  - kiwisolver==1.0.1=py36h6538335_0
  - markupsafe==1.1.1=py36he774522_0
  - matplotlib==3.0.3=py36hc8f65d3_0
  - cython==0.29.6=py36h6538335_0
  - yaml==0.1.7=hc54c509_2
  - libprotobuf==3.6.1=h7bd577a_0
  - m2w64-gcc-libgfortran==5.3.0=6
  - scikit-image==0.14.2=py36ha925a31_0
  - sip==4.19.8=py36h6538335_0
  - numpy-base==1.16.2=py36hc3f5095_0
  - traitlets==4.3.2=py36h096827d_0
  - shapely==1.6.4=py36h222a598_0
  - icu==58.2=ha66f8fd_1
  - libpng==1.6.36=h2a8f88b_0
  - vc==14.1=h0510ff6_4
  - intel-openmp==2019.3=203
  - tensorflow-base==1.13.1=mkl_py36hcaf7020_0
  - vs2015_runtime==14.15.26706=h3a45250_0
  - protobuf==3.6.1=py36h33f27b4_0
  - mistune==0.8.4=py36he774522_0
  - pyreadline==2.1=py36_1
  - hdf5==1.8.20=hac2f561_1
  - zlib==1.2.11=h62dcd97_3
  - grpcio==1.16.1=py36h351948d_1
  - zstd==1.3.7=h508b16e_0
  - cycler==0.10.0=py36h009560c_0
  - ipython_genutils==0.2.0=py36h3c5d0ee_0
  - m2w64-gcc-libs==5.3.0=7
  - pyrsistent==0.14.11=py36he774522_0
  - tornado==6.0.1=py36he774522_0
  - pillow==5.4.1=py36hdc69c19_0
  - pyqt==5.9.2=py36h6538335_2
  - m2w64-gmp==6.1.0=2
  - numpy==1.16.2=py36h19fb1c0_0

So I cloned my environment that I think has the necessary packages for computer vision tasks.

conda create -n mask_rcnn --clone vision

When I try to install the requirements.txt file I receive the following output:

pip install -r requirments.txt 

Collecting imgaug==0.2.8
  Using cached imgaug-0.2.8-py2.py3-none-any.whl (682 kB)
Collecting pycocotools
  Cloning https://github.com/philferriere/cocoapi.git to /tmp/pip-install-b7hf_d2a/pycocotools
  Running command git clone -q https://github.com/philferriere/cocoapi.git /tmp/pip-install-b7hf_d2a/pycocotools
    ERROR: Command errored out with exit status 1:
     command: /home/mateus/anaconda3/envs/mask_rcnn/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-b7hf_d2a/pycocotools/PythonAPI/setup.py'"'"'; __file__='"'"'/tmp/pip-install-b7hf_d2a/pycocotools/PythonAPI/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-install-b7hf_d2a/pycocotools/PythonAPI/pip-egg-info
         cwd: /tmp/pip-install-b7hf_d2a/pycocotools/PythonAPI
    Complete output (5 lines):
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-b7hf_d2a/pycocotools/PythonAPI/setup.py", line 2, in <module>
        from Cython.Build import cythonize
    ModuleNotFoundError: No module named 'Cython'
    ----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

and

pip3 install -r requirments.txt 

Collecting imgaug==0.2.8 (from -r requirments.txt (line 1))
  Cache entry deserialization failed, entry ignored
  Using cached https://files.pythonhosted.org/packages/f2/e3/4e19b465d6662e841e2960d77aa187414315b463302142a001a389cdaf2a/imgaug-0.2.8-py2.py3-none-any.whl
Collecting pycocotools from git+https://github.com/philferriere/cocoapi.git#egg=pycocotools&subdirectory=PythonAPI (from -r requirments.txt (line 2))
  Cloning https://github.com/philferriere/cocoapi.git to /tmp/pip-build-3d647ior/pycocotools
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-build-3d647ior/pycocotools/PythonAPI/setup.py", line 2, in <module>
        from Cython.Build import cythonize
    ModuleNotFoundError: No module named 'Cython'
    
    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-3d647ior/pycocotools/PythonAPI

I am on Ubuntu 18.04.4 LTS x86_64 with:
CPU: Intel i7-7700HQ (8) @ 3.800GHz
GPU: NVIDIA GeForce GTX 1060 Mobile
GPU: Intel Integrated Graphics

How do you run visualize_cv.py

How do you run visualize_cv.py? from command promp? or in jupyter

AttributeError: module 'tensorflow' has no attribute 'log'

Basically tried everything under the sun to get visualiaze_cv2.py to run... but i always get this error

AttributeError: module 'tensorflow' has no attribute 'log'

I was hoping to get this to run correctly with installing the yam_file with setting up an anaconda env, however, this was not the case, still the same error

UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.

Hello ,
I get error when i tried to training balloon dataset from the first epoch ,
My laptop freeze and it back works just after rebooting

UserWarning: Using a generator with use_multiprocessing=True and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.

When i change use_multiprocessing=False and works=1 , the error appears again
How can i solve this error?

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