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https://github.com/nikhilcodes/draw-anywhere
Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!
https://github.com/nikhilcodes/draw-anywhere
computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python
Last synced: about 2 months ago
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Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!
- Host: GitHub
- URL: https://github.com/nikhilcodes/draw-anywhere
- Owner: NikhilCodes
- License: mit
- Created: 2019-06-12T15:56:00.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-10-01T04:56:22.000Z (over 5 years ago)
- Last Synced: 2024-10-30T02:48:20.840Z (3 months ago)
- Topics: computer-vision, cv2, deep-learning, deep-neural-networks, drawing-app, illusion, keras-neural-networks, opencv, opencv-python
- Language: Python
- Size: 23.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Draw Anywhere
## Intro
Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!
- Run `python run_cam.py` to launch the camera app.
- Press `` bar to start tracing, and hit `` again to stop
tracing and recognise the drawing.## Command Line Options
- `--color` or `-c` to specify the color of pointer it should look for.
SUPPORTED OPTIONS: [green, blue, red]
- `--canvas` or `-s` to specify whether to display a Window containing your drawing without Background.
SUPPORTED OPTIONS: [True, False]
- `--area` or `-a` to specify minimum area in pixels.
- `--display` or `-d` to specify, How long is prediction shown in second(s).## Demo
![gif Playback](DEMO/DEMO-1.gif)## Dependencies
| Library | pip command |
|--------------|---------------------------|
| cv2 |`pip install opencv-python`|
| keras |`pip install keras` |
| numpy |`pip install numpy` |
| tensorflow |`pip install tenorflow` |### DON'T FORGET TO HIT THE STAR BUTTON.