File size: 1,647 Bytes
9388bc0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
import cv2
import os
import pandas as pd
from tqdm import tqdm
# Path to the input video
video_path = "../pmfeed_4_3_16.mp4"
# Directory to save frames
output_dir = "8_calves_yolo/test/images"
os.makedirs(output_dir, exist_ok=True)
# Load the video
video_capture = cv2.VideoCapture(video_path)
frame_number = 1
with tqdm(total=67760, desc="Extracting Frames") as pbar:
while True:
# Read the frame
ret, frame = video_capture.read()
# If no frame is returned, the video has ended
if not ret:
break
# Save the frame with a sequential name
frame_filename = os.path.join(output_dir, f"frame_{frame_number:05d}.png")
cv2.imwrite(frame_filename, frame)
# Increment the frame number
frame_number += 1
pbar.update(1)
# Release the video capture
video_capture.release()
print(f"Frames saved to: {output_dir}")
output_dir = "8_calves_yolo/test/labels"
os.makedirs(output_dir, exist_ok=True)
df = pd.read_pickle("../pmfeed_4_3_16_bboxes_and_labels.pkl")
df.reset_index(drop=True, inplace=True)
i = 0
j = 0
frame_id = 1
with tqdm(total=len(df)) as pbar:
while i < len(df):
while j < len(df) and df.loc[j]["frame_id"] == df.loc[i]["frame_id"]:
j += 1
pbar.update(1)
temp = df.loc[i:j - 1]
temp.to_csv(
f'{output_dir}/frame_{frame_id:05d}.txt',
header=None,
index=None,
sep=" ",
mode="w",
columns=["class", "x", "y", "w", "h"]
)
frame_id += 1
i = j
print(f"Labels saved to: {output_dir}")
|