Add video frame extractor and image caption gui
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# extract frames from videos every n seconds
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import cv2
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import os
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from pathlib import Path
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video_base_path = Path('../movies')
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frames_root_path = Path('../frames')
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interval = 30 #seconds
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if not video_base_path.exists():
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print('Video base path does not exist')
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exit(1)
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if not frames_root_path.exists():
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os.mkdir(frames_root_path)
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# loop over all files in the base path
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for video_path in video_base_path.iterdir():
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frames_folder = frames_root_path / f'frames-{video_path.stem}'
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if not frames_folder.exists():
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os.mkdir(frames_folder)
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print(f'Loading video {video_path}')
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print(f'Saving frames to {frames_folder}')
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cap = cv2.VideoCapture(str(video_path))
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fps = cap.get(cv2.CAP_PROP_FPS)
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count = 0
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while(cap.isOpened()):
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ret, frame = cap.read()
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if ret:
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cv2.imwrite(str(frames_folder / f'frame{count}.jpg'), frame)
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count += fps * interval
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cap.set(cv2.CAP_PROP_POS_FRAMES, count)
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else:
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cap.release()
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break
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print('done')
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# Python GUI tool to manually caption images for machine learning.
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# A sidecar file is created for each image with the same name and a .txt extension.
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#
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# [control/command + o] to open a folder of images.
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# [page down] and [page up] to go to next and previous images. Hold shift to skip 10 images.
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# [shift + home] and [shift + end] to go to first and last images.
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# [shift + delete] to move the current image into a '_deleted' folder.
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# [escape] to exit the app.
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import os
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import sys
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import tkinter as tk
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from tkinter import filedialog
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from PIL import Image, ImageTk
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from pathlib import Path
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class ImageView(tk.Frame):
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filename = None
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caption = None
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folder = None
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image_path = None
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image_list = []
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image_index = 0
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image_widget = None
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filename_widget = None
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caption_field = None
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def __init__(self, root):
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tk.Frame.__init__(self, root)
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# create a 2x2 grid
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self.grid_columnconfigure(0, weight=2)
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self.grid_columnconfigure(1, weight=1)
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self.grid_rowconfigure(1, weight=1)
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# filename
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self.filename = tk.StringVar()
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self.filename_widget = tk.Label(self, textvariable=self.filename)
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self.filename_widget.grid(row=0, column=0, columnspan=2, sticky=tk.N + tk.W + tk.E)
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# image
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self.image_widget = tk.Label(self)
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self.image_widget.grid(row=1, column=0, sticky=tk.W + tk.S + tk.N)
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# caption field
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self.caption_field = tk.Text(self, wrap="word")
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self.caption_field.grid(row=1, column=1, sticky=tk.E + tk.S + tk.N)
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def open_folder(self):
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self.folder = Path(filedialog.askdirectory())
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if self.folder is None:
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return
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self.image_list.clear()
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for file in os.listdir(self.folder):
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f = Path(file)
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if f.suffix == '.jpg' or f.suffix == '.png':
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self.image_list.append(f)
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self.image_list.sort()
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self.load_image()
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self.load_label_txt()
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def load_image(self):
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self.image_path = self.folder / self.image_list[self.image_index]
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self.filename.set(self.image_list[self.image_index])
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img = Image.open(self.image_path)
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if img.width > root.winfo_width() or img.height > root.winfo_height():
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img.thumbnail((800, 800))
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img = ImageTk.PhotoImage(img)
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self.image_widget.configure(image=img)
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self.image_widget.image = img
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def write_label_txt(self):
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label_txt_file = self.folder / (self.image_list[self.image_index].stem + '.txt')
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# overwrite label text file with the current text
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current_label_text = self.caption_field.get("1.0", "end-1c")
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current_label_text = current_label_text.replace('\r', '').replace('\n', '').strip()
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if current_label_text != '':
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print('wrote label text to file: ' + str(label_txt_file))
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with open(str(label_txt_file.absolute()), 'w') as f:
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f.write(current_label_text)
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def load_label_txt(self):
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# load label text file for the new image
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self.caption_field.delete(1.0, tk.END)
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label_txt_file = self.folder / (self.image_list[self.image_index].stem + '.txt')
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if label_txt_file.exists():
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with open(str(label_txt_file.absolute()), 'r') as f:
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self.caption_field.insert(tk.END, f.read())
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def go_to_image(self, index):
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self.write_label_txt()
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self.image_index = index
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self.load_label_txt()
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self.load_image()
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def next_image(self):
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self.write_label_txt()
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self.image_index += 1
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if self.image_index >= len(self.image_list):
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self.image_index = 0
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self.load_label_txt()
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self.load_image()
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def prev_image(self):
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self.write_label_txt()
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self.image_index -= 1
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if self.image_index < 0:
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self.image_index = len(self.image_list) - 1
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self.load_label_txt()
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self.load_image()
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# move current image to a "_deleted" folder
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def delete_image(self):
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if len(self.image_list) == 0:
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return
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cur_image_name = self.image_list[self.image_index]
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cur_image_path = self.folder / cur_image_name
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self.next_image()
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deleted_folder = Path(self.folder / '_deleted')
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if not deleted_folder.exists():
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deleted_folder.mkdir()
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os.rename(cur_image_path, deleted_folder / cur_image_name)
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# move the corresponding text file to the deleted folder
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txt_file_name = cur_image_name.stem + '.txt'
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label_txt_file = self.folder / txt_file_name
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if label_txt_file.exists():
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os.rename(label_txt_file, deleted_folder / txt_file_name)
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if __name__=='__main__':
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root = tk.Tk()
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root.geometry('1200x800')
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root.title('Image Captions')
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if sys.platform == 'darwin':
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root.bind('<Command-o>', lambda e: view.open_folder())
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else:
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root.bind('<Control-o>', lambda e: view.open_folder())
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root.bind('<Escape>', lambda e: root.destroy())
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root.bind('<Prior>', lambda e: view.prev_image())
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root.bind('<Next>', lambda e: view.next_image())
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root.bind('<Shift-Prior>', lambda e: view.go_to_image(view.image_index - 10))
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root.bind('<Shift-Next>', lambda e: view.go_to_image(view.image_index + 10))
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root.bind('<Shift-Home>', lambda e: view.go_to_image(0))
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root.bind('<Shift-End>', lambda e: view.go_to_image(len(view.image_list) - 1))
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root.bind('<Shift-Delete>', lambda e: view.delete_image())
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view = ImageView(root)
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view.pack(side="top", fill="both", expand=True)
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root.mainloop()
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