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Hi,
i am trying to train text detection https://github.com/opencv/openvino_training_extensions/tree/develop/tensorflow_toolkit/text_detection and default it is set for image size 1280*768 , but i want to train it on cropped number plate, i have resized my images to 200*120px size
is there any doc available to understand config.yaml,
some fields there are like
min_area: 300
score_map_shape: [128,128]
train_image_shape : [512,512]
can someone please explain these.
Thanks & Regards
A Rawat
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Hi Amit,
I would suggest you study the config.py of the original implementation of PixelLink, available at the following link:
https://github.com/ZJULearning/pixel_link/blob/master/config.py
Additionally, I would also encourage you to read the paper, “PixelLink: Detecting Scene Text via Instance Segmentation”, available at the following link:
https://arxiv.org/abs/1801.01315
Regards,
Munesh
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Hi Amit,
I would suggest you study the config.py of the original implementation of PixelLink, available at the following link:
https://github.com/ZJULearning/pixel_link/blob/master/config.py
Additionally, I would also encourage you to read the paper, “PixelLink: Detecting Scene Text via Instance Segmentation”, available at the following link:
https://arxiv.org/abs/1801.01315
Regards,
Munesh
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Hi Amit,
Intel will no longer monitor this thread since we have provided a solution. If you need any additional information from Intel, please submit a new question.
Regards,
Munesh
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