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Bugfix when extracting tokens for multiple detected objects #184

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Bugfix when extracting tokens for multiple detected objects #184

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4 changes: 3 additions & 1 deletion src/inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import os
import random
import io
import copy

import torch
from torchvision import transforms
Expand Down Expand Up @@ -249,14 +250,15 @@ def outputs_to_objects(outputs, img_size, class_idx2name):

return objects

def objects_to_crops(img, tokens, objects, class_thresholds, padding=10):
def objects_to_crops(img, tokens_original, objects, class_thresholds, padding=10):
"""
Process the bounding boxes produced by the table detection model into
cropped table images and cropped tokens.
"""

table_crops = []
for obj in objects:
tokens = copy.deepcopy(tokens_original)
if obj['score'] < class_thresholds[obj['label']]:
continue

Expand Down