Delete ocr_image.py

ocr_image.py

@@ -1,67 +0,0 @@
-import argparse
-import os.path
-
-from texify.inference import batch_inference
-from texify.model.model import load_model
-from texify.model.processor import load_processor
-from PIL import Image
-from texify.settings import settings
-from texify.util import is_valid_image
-import json
-
-
-def inference_single_image(image_path, json_path, model, processor):
-    image = Image.open(image_path)
-    text = batch_inference([image], model, processor)
-    write_data = [{"image_path": image_path, "text": text[0]}]
-    with open(json_path, "w+") as f:
-        json_repr = json.dumps(write_data, indent=4)
-        f.write(json_repr)
-
-
-def inference_image_dir(image_dir, json_path, model, processor, max=None):
-    image_paths = [os.path.join(image_dir, image_name) for image_name in os.listdir(image_dir)]
-    image_paths = [ip for ip in image_paths if is_valid_image(ip)]
-    if max:
-        image_paths = image_paths[:max]
-
-    write_data = []
-    for i in range(0, len(image_paths), settings.BATCH_SIZE):
-        batch = image_paths[i:i+settings.BATCH_SIZE]
-        images = [Image.open(image_path) for image_path in batch]
-        text = batch_inference(images, model, processor)
-        for image_path, t in zip(batch, text):
-            write_data.append({"image_path": image_path, "text": t})
-
-    with open(json_path, "w+") as f:
-        json_repr = json.dumps(write_data, indent=4)
-        f.write(json_repr)
-
-
-def main():
-    parser = argparse.ArgumentParser(description="OCR an image of a LaTeX equation.")
-    parser.add_argument("image", type=str, help="Path to image or folder of images to OCR.")
-    parser.add_argument("--max", type=int, help="Maximum number of images to OCR if a folder is passes.", default=None)
-    parser.add_argument("--json_path", type=str, help="Path to JSON file to save results to.", default=os.path.join(settings.DATA_DIR, "results.json"))
-    args = parser.parse_args()
-
-    image_path = args.image
-    model = load_model()
-    processor = load_processor()
-
-    json_path = os.path.abspath(args.json_path)
-    os.makedirs(os.path.dirname(json_path), exist_ok=True)
-
-    if os.path.isfile(image_path):
-        inference_single_image(image_path, json_path, model, processor)
-    else:
-        inference_image_dir(image_path, json_path, model, processor, args.max)
-
-    print(f"Wrote results to {json_path}")
-
-
-if __name__ == "__main__":
-    main()
-
-
-