Upload infer_qwen2_vl.py with huggingface_hub
Browse files- infer_qwen2_vl.py +3 -1
infer_qwen2_vl.py
CHANGED
@@ -74,6 +74,8 @@ for batch_idx in tqdm(range(begin, end, batch_size)):
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for idx,i in enumerate(batch):
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#img = batch[i]
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print('gain image successfully !')
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messages[1]["content"][0]["image"] = '/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/albus/ICCV_2025/qvq/dataset/' + i
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text = processor.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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@@ -115,7 +117,7 @@ for batch_idx in tqdm(range(begin, end, batch_size)):
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generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
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)
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ans.append(output_text)
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-
save_path = "
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counter = counter + 1
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if counter % 1 == 0:
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print(f"Saving data at iteration {idx + 1}")
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for idx,i in enumerate(batch):
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#img = batch[i]
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print('gain image successfully !')
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+
img_path = '/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/albus/ICCV_2025/qvq/dataset/' + i
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+
print(img_path)
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messages[1]["content"][0]["image"] = '/inspire/hdd/ws-ba572160-47f8-4ca1-984e-d6bcdeb95dbb/a100-maybe/albus/ICCV_2025/qvq/dataset/' + i
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text = processor.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
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)
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ans.append(output_text)
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+
save_path = "output_1.json"
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counter = counter + 1
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if counter % 1 == 0:
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print(f"Saving data at iteration {idx + 1}")
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