Python & ML: Tips

[1] __init__.

[2] 10 best annotation tools for computer vision applications. 2022-05-07

Free:

1. Make Sense: https://www.makesense.ai/

2. VGG Image Annotator: https://www.robots.ox.ac.uk/~vgg/software/via/

3. Computer Vision Annotator Tool (CVAT): https://github.com/openvinotoolkit/cvat

4. Labelme: http://labelme.csail.mit.edu/

5. Dash Doodler: https://github.com/Doodleverse/dash_doodler

6. LabelImg: https://github.com/tzutalin/labelImg

7. Label Studio: https://labelstud.io/

Paid:

8. LabelBox: https://labelbox.com/

9. Scale: https://scale.com/

10. Superannotate: https://www.superannotate.com/

[3] git.

[4] pip install -e git+https://github.com/tensorflow/examples.git#egg=TensorFlow-Examples

[5] tqdm means "progress" in Arabic.

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from tqdm import tqdm # create a list to store images images=[] # iterate over 1000 image paths for path in tqdm(image_path): # read file file=tf.io.read_file(path) # decode a png file to a tensor image=tf.image.decode_png(file, channels=3, dtype=tf.uint8) # append to the list images.append(image)