Upload 4 files

README.md

@@ -0,0 +1,39 @@
+# README
+
+## 运行环境
+
+```bash
+conda create -n label python=3.10
+conda activate label
+pip install -r requirements.txt
+```
+
+
+
+## 视频类型描述
+
+| 类型 |             描述             |      |
+| :--: | :--------------------------: | ---- |
+|  0   |      相机旋转，主体静止      |      |
+|  1   | 相机大幅旋转，主体有一定运动 |      |
+|  2   |        除以上两类之外        |      |
+
+## 代码使用方法
+
+在`label.py`中将`main`函数中`batch_file`变量赋值为需要标注的视频文件夹名字
+
+在终端中运行以下命令，将自动生成与标注文件夹同名的csv文件
+
+```bash
+python label.py
+```
+
+若环境配置正确，将自动播放视频，在命令行中将输出视频的名字以及标注进度，在播放过程中可以按下`q`中断播放直接开始进行标注
+
+在标注环节，输入0, 1, 2，将自动在csv文件中修改对应文件的label，并播放下一个视频；
+
+输入`r`，将重新播放视频；
+
+输入`w`将关闭程序，下次将从第一个未标注的视频开始播放
+
+标注结束后，将csv文件回收即可

label.py

@@ -0,0 +1,109 @@
+import os
+import csv
+import cv2
+
+VIDEO_EXTENSIONS = [".mp4", ".webm", ".mkv"]
+
+def list_video_files(folder_path):
+    return [f for f in os.listdir(folder_path) if os.path.splitext(f)[1].lower() in VIDEO_EXTENSIONS]
+
+def load_csv(csv_path):
+    with open(csv_path, 'r', newline='', encoding='utf-8') as csv_file:
+        reader = csv.reader(csv_file)
+        next(reader)  # Skip header
+        return list(reader)
+
+def save_csv(csv_path, data):
+    with open(csv_path, 'w', newline='', encoding='utf-8') as csv_file:
+        writer = csv.writer(csv_file)
+        writer.writerow(["filename", "label"])
+        writer.writerows(data)
+
+def find_first_unlabeled(data):
+    for i, row in enumerate(data):
+        if row[1] == '-1':
+            return i
+    return -1
+
+def create_label_csv(folder_path, csv_file_path):
+    video_files = list_video_files(folder_path)
+    if not video_files:
+        print(f"No video files found in {folder_path}")
+        return
+
+    folder_name = os.path.basename(folder_path)
+    csv_file_path = os.path.join(csv_file_path, f"{folder_name}.csv")
+
+    with open(csv_file_path, mode='w', newline='', encoding='utf-8') as csv_file:
+        writer = csv.writer(csv_file)
+        writer.writerow(["filename", "label"]) 
+        for video_file in video_files:
+            writer.writerow([video_file, -1])  
+    print(f"CSV file created: {csv_file_path}")
+
+def play_video(video_path):
+    cap = cv2.VideoCapture(video_path)
+    if not cap.isOpened():
+        print(f"Failed to open video: {video_path}")
+        return
+
+    print("Press 'q' to end view.")
+    while True:
+        ret, frame = cap.read()
+        if not ret:
+            break
+        cv2.imshow(os.path.basename(video_path), frame)
+        if cv2.waitKey(25) & 0xFF == ord('q'):
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()
+
+def label_videos(folder_path, csv_file_path):
+    csv_path = os.path.join(csv_file_path, f"{os.path.basename(folder_path)}.csv")
+    if not os.path.exists(csv_path):
+        print(f"CSV file not found: {csv_path}, creating...")
+        create_label_csv(folder_path, csv_file_path)
+
+    data = load_csv(csv_path)
+    total_videos = len(data)
+    unlabeled_index = find_first_unlabeled(data)
+
+    if unlabeled_index == -1:
+        print("All videos are labeled.")
+        return
+
+    while unlabeled_index < total_videos:
+        video_name, label = data[unlabeled_index]
+        video_path = os.path.join(folder_path, video_name)
+
+        print(f"Current video: {video_name}")
+        print(f"Progress: {unlabeled_index + 1}/{total_videos} ({(unlabeled_index + 1) / total_videos * 100:.2f}%)")
+
+        play_video(video_path)
+
+        while True:
+            label_input = input("Enter label (0, 1, 2), 'w' to exit, 'r' to replay: ")
+            if label_input in ['0', '1', '2']:
+                data[unlabeled_index][1] = label_input
+                save_csv(csv_path, data)
+                print(f"Label {label_input} saved for {video_name}.")
+                break
+            elif label_input == 'w':
+                print("Exiting")
+                return
+            elif label_input == 'r':
+                print(f"Replaying {video_name}")
+                play_video(video_path)
+            else:
+                print("Invalid input. Please enter 0, 1, 2, 'w' or 'r'.")
+
+        unlabeled_index = find_first_unlabeled(data)
+        if unlabeled_index == -1:
+            print("All videos are labeled.")
+            break
+
+if __name__ == "__main__":
+    batch_folder = "./batch_0"
+    csv_file_path = './'
+    label_videos(batch_folder, csv_file_path)

requirements.txt

@@ -0,0 +1 @@
+opencv-python>=4.5.5