First model version

app.py

@@ -42,6 +42,9 @@ def infer(filepath):
     patchs = [image[box[1]:box[3], box[0]:box[2], :] for box in result_boxes]
     patchs = [preprocess(patch, config.dataset_image_width, config.dataset_image_height) for patch in patchs]
     patchs = torch.stack(patchs, dim=0)
+    res = model(patchs)
+    rec_result = postprocess(res, charset, 'alignment')[0]
+    print(rec_result)
     
     visual_image = det_demo.visualization(image.copy(), result_polygons, result_masks, result_boxes)