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MNIST Digit Recognition got lot more Interesting!\n- Run `python run_cam.py` to launch the camera app.\n- Press `\u003cSPACE\u003e` bar to start tracing, and hit `\u003cSPACE\u003e` again to stop\n  tracing and recognise the drawing.\n\n## Command Line Options\n- `--color` or `-c` to specify the color of pointer it should look for.\n  SUPPORTED OPTIONS: [green, blue, red]\n- `--canvas` or `-s` to specify whether to display a Window containing your drawing without Background.\n  SUPPORTED OPTIONS: [True, False]\n- `--area` or `-a` to specify minimum area in pixels.\n- `--display` or `-d` to specify, How long is prediction shown in second(s).\n\n## Demo\n![gif Playback](DEMO/DEMO-1.gif)\n\u003cbr\u003e\u003cbr\u003e\n\n## Dependencies\n|   Library    |       pip command         |\n|--------------|---------------------------|\n| cv2          |`pip install opencv-python`|\n| keras        |`pip install keras`        |\n| numpy        |`pip install numpy`        |\n| tensorflow   |`pip install tenorflow`    |\n\n### DON'T FORGET TO HIT THE STAR BUTTON.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnikhilcodes%2Fdraw-anywhere","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnikhilcodes%2Fdraw-anywhere","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnikhilcodes%2Fdraw-anywhere/lists"}