<p>I suggest you refer to the config.py of the original implementation of PixelLink, available at the following link:
<a href="https://github.com/ZJULearning/pixel_link/blob/master/config.py" rel="nofollow noreferrer">https://github.com/ZJULearning/pixel_link/blob/master/config.py</a></p>
<p>Additionally, I would also encourage you to read the paper, “PixelLink: Detecting Scene Text via Instance Segmentation”, available at the following link:
<a href="https://arxiv.org/abs/1801.01315" rel="nofollow noreferrer">https://arxiv.org/abs/1801.01315</a></p>
openvino training extensions text detector train for small images
<p>i am trying to train text detection <a href="https://github.com/opencv/openvino_training_extensions/tree/develop/tensorflow_toolkit/text_detectio.." rel="nofollow noreferrer">https://github.com/opencv/openvino_training_extensions/tree/develop/tensorflow_toolkit/text_detectio..</a>.  and default it is set for image size 1280 * 768 , but i want to train  it on cropped vehicle number plate, i have resized my images to 200*120px size with padding keeping the aspect ratio.</p>
<p>is there any doc available to understand config.yaml,</p>
<p>some fields there are like</p>
<p>min_area: 300</p>
<p>score_map_shape: [128,128]</p>
<p>train_image_shape : [512,512]</p>
<p>can someone please explain these.
i tried setting train_image_shape with 200,120, and i got error operands could not be broadcast together with shapes (8,13,2)(8,14,2)</p>
<p>Thanks &amp; Regards</p>
<p>Rawat</p>