Closed ghost closed 4 years ago
:memo: Version: 1.20190225. Thank you for submitting PR #202. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://nnsuite.mooo.com/.
We generate a report if there are dangerous coding constructs in your code. Please read http://nnsuite.mooo.com/nnstreamer-example/ci/repo-workers/pr-checker/202-202009271957270.24115991592407-9f371195252232c336033d3d8049a2742ae22326/report/pylint_result.txt.
Actually, I forgot to write this. The model of face_detection.py is based on detect_face.tflite in here. (src: http://nnsuite.mooo.com/warehouse/nnmodels/) Should I make this model available for download via get_model.sh?
That's a good idea.
Actually, I forgot to write this. The model of face_detection.py is based on detect_face.tflite in here. (src: http://nnsuite.mooo.com/warehouse/nnmodels/) Should I make this model available for download via get_model.sh?
I agree with @soo-ni's opinion. Please update the script.
And let's add .py files in meson.build and install them in examples_install_dir
.
We generate a report if there are dangerous coding constructs in your code. Please read http://nnsuite.mooo.com/nnstreamer-example/ci/repo-workers/pr-checker/202-202009272210200.83538603782654-db0d2ce2330739300c6423de63577007a5392a32/report/pylint_result.txt.
We generate a report if there are dangerous coding constructs in your code. Please read http://nnsuite.mooo.com/nnstreamer-example/ci/repo-workers/pr-checker/202-202009272218080.56309509277344-683c240b648afaab1468e0254ba224b705ede763/report/pylint_result.txt.
Actually, I forgot to write this. The model of face_detection.py is based on detect_face.tflite in here. (src: http://nnsuite.mooo.com/warehouse/nnmodels/) Should I make this model available for download via get_model.sh?
I agree with @soo-ni's opinion. Please update the script. And let's add .py files in meson.build and install them in
examples_install_dir
.
I didn't even think about meson.build. I'll work right away.
:octocat: cibot: @dreamfinder2019, There is a newline issue. The final line of a text file should have newline character. Please resubmit your PR after fixing end of line in native/example_face_detection_tflite/meson.build.
:octocat: cibot: @dreamfinder2019, One of the format checkers is failed. If you want to get a hint to fix this issue, please go to https://github.com/nnstreamer/nnstreamer-example/wiki/.
:octocat: cibot: @dreamfinder2019, There is a newline issue. The final line of a text file should have newline character. Please resubmit your PR after fixing end of line in native/example_object_detection_tensorflow_lite/meson.build.
:octocat: cibot: @dreamfinder2019, One of the format checkers is failed. If you want to get a hint to fix this issue, please go to https://github.com/nnstreamer/nnstreamer-example/wiki/.
:octocat: cibot: @dreamfinder2019, There is a newline issue. The final line of a text file should have newline character. Please resubmit your PR after fixing end of line in native/example_object_detection_tensorflow_lite/meson.build.
:octocat: cibot: @dreamfinder2019, One of the format checkers is failed. If you want to get a hint to fix this issue, please go to https://github.com/nnstreamer/nnstreamer-example/wiki/.
:octocat: cibot: @dreamfinder2019, There is a newline issue. The final line of a text file should have newline character. Please resubmit your PR after fixing end of line in native/example_object_detection_tensorflow_lite/meson.build.
:octocat: cibot: @dreamfinder2019, One of the format checkers is failed. If you want to get a hint to fix this issue, please go to https://github.com/nnstreamer/nnstreamer-example/wiki/.
In response to numerous fix requests, we have made the following changes:
Python version of object detection and face detection using Tflite and nnstreamer now works full functonional. Both code detects objects or face. PyCairo was used as visualization tool. For face detection, the code shows only the largest detected face in the video, while the other faces are covered with black rectangles. Right now, These two codes have not yet implemented mutex or thread-related functions.