Is there an existing issue for this?
Operating System
Windows 11 Pro
DeepLabCut version
3.0.0 rc6
What engine are you using?
pytorch
DeepLabCut mode
single animal
Device type
RTX 4060
Bug description 🐛
Hi! I used jupyter notebook to generate high quality video for an analysed data. The generated frames don't look correctly labeled. However, when I check the frames using labeling GUI, the labels look great. I attached an example of same frame, one is saved by video generation and the other is what it looks in the labeling GUI. I used the same model and I didn't crop the video when I analysed it.
Steps To Reproduce
import deeplabcut
config_path = "F:/Deeplabcut/projects/CSA_tongue-Jiachen-2025-09-26/config.yaml"
videos = [
"E:/video/135/135_tongue_day2.mp4"]
deeplabcut.create_labeled_video(
config_path,
videos,
shuffle = 3,
filtered = True,
pcutoff = 0.75,
save_frames = True)
Relevant log output
Loading DLC 3.0.0rc6...
C:\Users\Limlab\anaconda3\envs\deeplabcut\lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
from .autonotebook import tqdm as notebook_tqdm
Starting to process video: E:/video/135/135_tongue_day2.mp4
Loading E:/video/135/135_tongue_day2.mp4 and data.
Duration of video [s]: 3959.55, recorded with 30.01 fps!
Overall # of frames: 118843 with cropped frame dimensions: 1200 1200
Generating frames and creating video.
100%|██████████| 118843/118843 [14:53:23<00:00, 2.22it/s]
Labeled video E:\video\135\135_tongue_day2DLC_HrnetW32_CSA_tongueSep26shuffle3_snapshot_280_filtered_p75_labeled.mp4 successfully created.
Anything else?
Code of Conduct
Is there an existing issue for this?
Operating System
Windows 11 Pro
DeepLabCut version
3.0.0 rc6
What engine are you using?
pytorch
DeepLabCut mode
single animal
Device type
RTX 4060
Bug description 🐛
Hi! I used jupyter notebook to generate high quality video for an analysed data. The generated frames don't look correctly labeled. However, when I check the frames using labeling GUI, the labels look great. I attached an example of same frame, one is saved by video generation and the other is what it looks in the labeling GUI. I used the same model and I didn't crop the video when I analysed it.
Steps To Reproduce
import deeplabcut
config_path = "F:/Deeplabcut/projects/CSA_tongue-Jiachen-2025-09-26/config.yaml"
videos = [
"E:/video/135/135_tongue_day2.mp4"]
deeplabcut.create_labeled_video(
config_path,
videos,
shuffle = 3,
filtered = True,
pcutoff = 0.75,
save_frames = True)
Relevant log output
Anything else?
Code of Conduct