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Merge pull request #639 from myhloli/dev
fix(pdf_extract_kit):change unimernet base -> small
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@@ -63,7 +63,7 @@ def mfr_model_init(weight_dir, cfg_path, _device_='cpu'):
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cfg.config.model.tokenizer_config.path = weight_dir
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task = tasks.setup_task(cfg)
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model = task.build_model(cfg)
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model = model.to(_device_)
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model.to(_device_)
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model.eval()
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vis_processor = load_processor('formula_image_eval', cfg.config.datasets.formula_rec_eval.vis_processor.eval)
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mfr_transform = transforms.Compose([vis_processor, ])
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@@ -155,6 +155,23 @@ def atom_model_init(model_name: str, **kwargs):
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return atom_model
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# Unified crop img logic
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def crop_img(input_res, input_pil_img, crop_paste_x=0, crop_paste_y=0):
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crop_xmin, crop_ymin = int(input_res['poly'][0]), int(input_res['poly'][1])
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crop_xmax, crop_ymax = int(input_res['poly'][4]), int(input_res['poly'][5])
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# Create a white background with an additional width and height of 50
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crop_new_width = crop_xmax - crop_xmin + crop_paste_x * 2
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crop_new_height = crop_ymax - crop_ymin + crop_paste_y * 2
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return_image = Image.new('RGB', (crop_new_width, crop_new_height), 'white')
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# Crop image
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crop_box = (crop_xmin, crop_ymin, crop_xmax, crop_ymax)
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cropped_img = input_pil_img.crop(crop_box)
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return_image.paste(cropped_img, (crop_paste_x, crop_paste_y))
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return_list = [crop_paste_x, crop_paste_y, crop_xmin, crop_ymin, crop_xmax, crop_ymax, crop_new_width, crop_new_height]
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return return_image, return_list
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class CustomPEKModel:
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def __init__(self, ocr: bool = False, show_log: bool = False, **kwargs):
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@@ -313,22 +330,6 @@ class CustomPEKModel:
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elif int(res['category_id']) in [5]:
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table_res_list.append(res)
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# Unified crop img logic
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def crop_img(input_res, input_pil_img, crop_paste_x=0, crop_paste_y=0):
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crop_xmin, crop_ymin = int(input_res['poly'][0]), int(input_res['poly'][1])
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crop_xmax, crop_ymax = int(input_res['poly'][4]), int(input_res['poly'][5])
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# Create a white background with an additional width and height of 50
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crop_new_width = crop_xmax - crop_xmin + crop_paste_x * 2
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crop_new_height = crop_ymax - crop_ymin + crop_paste_y * 2
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return_image = Image.new('RGB', (crop_new_width, crop_new_height), 'white')
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# Crop image
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crop_box = (crop_xmin, crop_ymin, crop_xmax, crop_ymax)
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cropped_img = input_pil_img.crop(crop_box)
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return_image.paste(cropped_img, (crop_paste_x, crop_paste_y))
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return_list = [crop_paste_x, crop_paste_y, crop_xmin, crop_ymin, crop_xmax, crop_ymax, crop_new_width, crop_new_height]
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return return_image, return_list
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# ocr识别
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if self.apply_ocr:
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ocr_start = time.time()
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@@ -10,6 +10,6 @@ config:
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weights:
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layout: Layout/model_final.pth
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mfd: MFD/weights.pt
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mfr: MFR/unimernet_base
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mfr: MFR/unimernet_small
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struct_eqtable: TabRec/StructEqTable
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TableMaster: TabRec/TableMaster
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