init

main.py

@@ -0,0 +1,146 @@
+import cv2
+from numpy import extract
+import pytesseract
+import logging
+import re
+import os
+import json
+
+
+CROP = (
+    10,  # x
+    10,  # y
+    32,  # h
+    120,  # w
+)
+
+RX = r"\d+"
+
+RESULTS_DIR = "results.json"
+VIDEOS_DIR = "videos"
+
+
+def get_log_level(level):
+    level = level.strip().upper()
+    if level.isdigit():
+        return int(level)
+    if lvl := logging.getLevelNamesMapping().get(level):
+        return lvl
+    raise Exception("invalid log level")
+
+
+def setup_logger(level):
+    logging.basicConfig(
+        level=level,
+        format="%(asctime)s [%(levelname).3s] <%(filename)s:%(funcName)s> %(message)s",
+        datefmt="%Y-%m-%d %H:%M:%S",
+    )
+
+
+def extract_count_at_frame(cap, idx):
+    logging.debug(f"getting info at frame idx={idx}")
+
+    cap.set(cv2.CAP_PROP_POS_FRAMES, idx)
+
+    ret, frame = cap.read()
+    if not ret:
+        raise Exception(f"failed to select frame idx={idx}")
+
+    fh, fw, _ = frame.shape
+
+    (x, y, h, w) = CROP
+    cropped = frame[x:h, fw - w : fw - y]
+
+    gray = cv2.cvtColor(cropped, cv2.COLOR_RGB2GRAY)
+
+    text = pytesseract.image_to_string(gray, config="--psm 6")  # "psm 6" = assume a block of text
+    matches = re.findall(RX, text)
+    if not matches:
+        return -1
+    return int(matches[-1])
+
+
+def get_pivot(start, end):
+    return int((end - start) / 2) + start
+
+
+def extract_timestamps(video_path):
+    cap = cv2.VideoCapture(video_path)
+    if not cap.isOpened():
+        raise Exception("failed to open file")
+
+    fps = cap.get(cv2.CAP_PROP_FPS)
+    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) - int(fps)
+
+    c_start = extract_count_at_frame(cap, 0)
+    c_end = extract_count_at_frame(cap, total_frames)
+    if c_end <= c_start:
+        logging.info(f"no additional deaths in this video start={c_start} end={c_end}")
+        return []
+
+    timeframes = []
+
+    start = 0
+    end = total_frames
+    last_count = c_start
+    while True:
+        pivot = get_pivot(start, end)
+        count = extract_count_at_frame(cap, pivot)
+        if count < c_start or count > c_end:
+            logging.warning(f"faulty value found count={count} c_start={c_start} c_end={c_end} frame={pivot}")
+            start += 1
+            continue
+        logging.debug(f"s={start} e={end} p={pivot} c={count}")
+        if end - start < fps:
+            logging.debug(f"found window s={start} e={end} p={pivot} c={count}")
+            timeframes.append(start / fps)
+            last_count += 1
+            if len(timeframes) == c_end - c_start:
+                break
+            start = end + fps
+            end = total_frames
+        elif count <= last_count:
+            start = pivot
+        else:
+            end = pivot
+
+    cap.release()
+
+    return timeframes
+
+
+def format_timestamp(secs):
+    mins = int(secs / 60)
+    secs = int(secs % 60)
+    return f"{mins:0<2}:{secs:0<2}"
+
+
+def load_results():
+    if not os.path.exists(RESULTS_DIR):
+        return {}
+    with open(RESULTS_DIR, "r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def store_results(results):
+    with open(RESULTS_DIR, "w", encoding="utf-8") as f:
+        json.dump(results, f, indent=2)
+
+
+def main():
+    setup_logger(get_log_level("info"))
+
+    results = load_results()
+
+    for f in os.listdir(VIDEOS_DIR):
+        if f in results:
+            logging.info(f"already analyzed, skipping file={f}")
+            continue
+        logging.info(f"extracting timestamps ... file={f}")
+        timestamps = extract_timestamps(os.path.join(VIDEOS_DIR, f))
+        results[f] = [format_timestamp(t) for t in timestamps]
+        store_results(results)
+
+
+if __name__ == "__main__":
+    main()