Update README.md
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README.md
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@@ -5,3 +5,108 @@ library_name: transformers
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tags:
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- image-to-text
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---
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tags:
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- image-to-text
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---
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Requirements:
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```bash
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pip install transformers
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pip install torch
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```
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Adapted sample script for SRRG
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```python
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import torch
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from PIL import Image
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from transformers import BertTokenizer, ViTImageProcessor, VisionEncoderDecoderModel, GenerationConfig
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import requests
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import re
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model_name = "StanfordAIMI/chexpert-plus-srrg_impression"
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model = VisionEncoderDecoderModel.from_pretrained(model_name).eval()
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tokenizer = BertTokenizer.from_pretrained(model_name)
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image_processor = ViTImageProcessor.from_pretrained(model_name)
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generation_args = {
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"bos_token_id": model.config.bos_token_id,
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"eos_token_id": model.config.eos_token_id,
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"pad_token_id": model.config.pad_token_id,
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"num_return_sequences": 1,
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"max_length": 128,
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"use_cache": True,
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"beam_width": 2,
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}
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# Inference
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with torch.no_grad():
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url = "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg"
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image = Image.open(requests.get(url, stream=True).raw)
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pixel_values = image_processor(image, return_tensors="pt").pixel_values
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# Generate predictions
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generated_ids = model.generate(
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pixel_values,
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generation_config=GenerationConfig(
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**{**generation_args, "decoder_start_token_id": tokenizer.cls_token_id})
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)
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generated_texts = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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impression = generated_texts[0]
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print("Output raw impression:\n", impression)
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# format impression
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def process_impression_line(line):
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"""
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Process one report line.
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- First, deduce from the first valid impression header the expected style:
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e.g. "1." vs. "1 ."
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- Then, only when a candidate match’s number equals the expected impression number,
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treat it as an impression header. For the first valid header, leave it unchanged.
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For subsequent valid headers, insert a newline before it.
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- Any candidate that does not match the expected number is assumed not to be an impression header.
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"""
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impression_pattern = re.compile(r'(\d+)(\s*\.)(?!\d)')
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expected_impression = 1
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first_valid = True
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deduced_style = None
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def replacement(match):
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nonlocal expected_impression, first_valid, deduced_style
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candidate_num = int(match.group(1))
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candidate_style = match.group(2) # may be " ." or "."
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# Only consider a candidate a valid impression header if it equals the expected number.
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if candidate_num == expected_impression:
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if first_valid:
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# This is our first valid impression header.
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first_valid = False
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deduced_style = candidate_style # record style (with or without whitespace)
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expected_impression += 1
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return match.group(0) # leave unchanged (i.e. no preceding newline)
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else:
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# For subsequent valid headers, we require the style to be the same as deduced.
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if candidate_style == deduced_style:
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expected_impression += 1
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return "\n" + match.group(0)
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else:
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# If the style does not match the deduced style, leave it unchanged.
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return match.group(0)
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else:
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# This candidate does not match the expected number; likely it's not a header.
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return match.group(0)
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processed = impression_pattern.sub(replacement, line)
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return processed
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impression = impression.strip()
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impression = process_impression_line(impression)
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print("Formatted impression:\n", impression)
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```
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Output
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```
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Output raw impression:
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1. moderate bilateral pleural effusions with associated bibasilar opacities, which may represent atelectasis or consolidation. 2. mild pulmonary edema.
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Formatted impression:
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1. moderate bilateral pleural effusions with associated bibasilar opacities, which may represent atelectasis or consolidation.
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2. mild pulmonary edema.
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```
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