changed chunk generation
Browse files- ref_seg_ger.py +12 -7
ref_seg_ger.py
CHANGED
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@@ -115,7 +115,7 @@ def load_image(image_path, size=None):
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class RefSeg(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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CHUNK_SIZE =
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VERSION = datasets.Version("1.0.0")
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# This is an example of a dataset with multiple configurations.
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@@ -255,12 +255,17 @@ class RefSeg(datasets.GeneratorBasedBuilder):
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if input != '':
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clean_input_ids.append(input)
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clean_labels.append(labels[i])
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#split_bboxes = bboxes[index:index + self.CHUNK_SIZE]
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# split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
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# split_fonts = fonts[index:index + self.CHUNK_SIZE]
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split_labels = clean_labels[index:max(len(clean_input_ids), index + self.CHUNK_SIZE)]
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#split_labels_post = [item for sublist in split_labels for item in sublist]
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# if(len(split_ids) != len(split_labels)):
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# print(f)
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@@ -278,13 +283,13 @@ class RefSeg(datasets.GeneratorBasedBuilder):
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yield key, {
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#"id": f"{os.path.basename(f)}_{chunk_id}",
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'input_ids':
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'attention_mask': [1] * len(
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#"bbox": split_bboxes,
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# "RGBs": split_rgbs,
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# "fonts": split_fonts,
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#"image": image,
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#"original_image": original_image,
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"labels":
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}
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key += 1
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class RefSeg(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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CHUNK_SIZE = 256
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VERSION = datasets.Version("1.0.0")
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# This is an example of a dataset with multiple configurations.
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if input != '':
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clean_input_ids.append(input)
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clean_labels.append(labels[i])
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n_chunks = int(len(clean_input_ids)/self.CHUNK_SIZE) if len(clean_input_ids)%self.CHUNK_SIZE == 0 \
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else int(len(clean_input_ids)/self.CHUNK_SIZE) + 1
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split_ids = np.array_split(clean_input_ids, n_chunks)
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split_labels = np.array_split(clean_labels, n_chunks)
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for chunk_ids, chunk_labels in zip(split_ids, split_labels):
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#for chunk_id, index in enumerate(range(0, len(clean_input_ids), self.CHUNK_SIZE)):
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#split_ids = clean_input_ids[index:max(len(clean_input_ids), index + self.CHUNK_SIZE)]
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#split_bboxes = bboxes[index:index + self.CHUNK_SIZE]
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# split_rgbs = rgbs[index:index + self.CHUNK_SIZE]
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# split_fonts = fonts[index:index + self.CHUNK_SIZE]
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#split_labels = clean_labels[index:max(len(clean_input_ids), index + self.CHUNK_SIZE)]
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#split_labels_post = [item for sublist in split_labels for item in sublist]
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# if(len(split_ids) != len(split_labels)):
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# print(f)
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yield key, {
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#"id": f"{os.path.basename(f)}_{chunk_id}",
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'input_ids': chunk_ids,
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'attention_mask': [1] * len(chunk_ids),
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#"bbox": split_bboxes,
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# "RGBs": split_rgbs,
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# "fonts": split_fonts,
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#"image": image,
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#"original_image": original_image,
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"labels": chunk_labels
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}
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key += 1
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