add main.py

main.py

@@ -0,0 +1,65 @@
+
+import json, os, sys, time, io
+import os.path as osp
+
+from PIL import Image
+import PIL
+import cv2
+import numpy as np
+
+# see utils\io_utils.py
+def imread(imgpath, read_type=cv2.IMREAD_COLOR, max_retry_limit=5, retry_interval=0.1):
+    if not osp.exists(imgpath):
+        return None
+    
+    num_tries = 0
+    while True:
+        try:
+            img = Image.open(imgpath)
+            if read_type == cv2.IMREAD_GRAYSCALE:
+                img = img.convert('L')
+            img = np.array(img)
+            if read_type != cv2.IMREAD_GRAYSCALE:
+                if img.ndim == 3 and img.shape[-1] == 1:
+                    img = img[..., :2]
+                if img.ndim == 2:
+                    img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
+
+            if img.ndim == 3 and img.shape[-1] == 4:
+                if np.all(img[..., -1] == 255):
+                    img = np.ascontiguousarray(img[..., :3])
+            break
+        except PIL.UnidentifiedImageError as e:
+            # IMG I/O thread might not finished yet
+            num_tries += 1
+            if max_retry_limit is not None and num_tries >= max_retry_limit:
+                return None
+            time.sleep(retry_interval)
+    
+    return img
+
+
+
+if __name__ == '__main__':
+
+    from modules.textdetector.ctd.inference import TextDetector as CTDModel
+
+    CTD_ONNX_PATH = 'data/models/comictextdetector.pt.onnx'
+    device = 'cpu'
+    detect_size = 1280
+
+
+
+    # model = load_ctd_model(CTD_ONNX_PATH, device, detect_size)
+
+    img = imread('E:/huggingface/BallonsTranslator/assets/kcc-0010.jpg')
+    
+    # All text detectors only support 3 channels input 
+    if img.ndim == 3 and img.shape[2] == 4:
+        img = cv2.cvtColor(img, cv2.COLOR_RGBA2RGB)
+
+
+
+    pass
+
+

readme.txt

@@ -1,4 +1,5 @@
 
+# vscode 直接运行 launch.py
 
 vi .vscode\settings.json
 {