opt visualized func and add docker usage in cpu
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@ -276,14 +276,6 @@ def text_visual(texts, scores, img_h=400, img_w=600, threshold=0.):
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if __name__ == '__main__':
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text = [
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"旨在打造一套丰富领先、且实用的工具库助力使、用者训练出更好的模型,并应用落地",
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"以下代码实现了文本检测、识别串联推理,在执行预测时,需要通过参数image_dir指定单张图像或者图像集合",
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"上述DB模型的训练和评估,需设置后处理参数box_thresh=0.6,unclip_ratio=1.5,使用不同数据集"
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]
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img = text_visual(text, scores=[0.999, 0.999, 0.999], img_h=100)
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cv2.imwrite("./draw_txt.jpg", np.array(img))
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"""
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test_img = "./doc/test_v2"
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predict_txt = "./doc/predict.txt"
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f = open(predict_txt, 'r')
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@ -303,4 +295,3 @@ if __name__ == '__main__':
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new_img = draw_ocr(image, boxes, txts, scores, draw_txt=True)
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cv2.imwrite(img_name, new_img)
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"""
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