Comments (3)
2024-05-09.03-57-54.mp4
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@REZIZ-TER hello!
It looks like your message might be missing a proper link or context for your query. Could you please repost the correct link or provide additional information about your issue?
Thank you! Looking forward to helping you!
from ultralytics.
Hello @glenn-jocher, thanks for your reply.
The purpose of my work is to receive images from an IP camera using an RTSP URL and use them for object detection using YOLOv8. The problem I encountered was the image frames displayed by the command. cv2.imshow("yolov8", frame_resize)
has a longer than realistic lag of 20-30 seconds. For example, I held up my finger at the time 10:35 minutes 20 seconds It was 10:35 minutes and 50 seconds before the picture of me holding up my finger appeared. or more which when I use this link rtsp://admin:[email protected]:554/Streaming/Channels/101
Watching the stream via VLC media player has a relatively small lag of 3-5 seconds, which is an acceptable time for me.
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Related Issues (20)
- problem in predict yolov8 HOT 2
- yolo8-n FPS difference yaml vs .pt HOT 3
- postprocess is very slow HOT 2
- A generalized YOLOv8 model with DET, OBB, SEG and POSE tasks. HOT 2
- Number of model parameters and FLOPs based on Ultralytics HOT 1
- Prediction on SAM Model doesn't support specifying classes to predict HOT 3
- LetterBox Bug(ultralytics/data/augment.py) HOT 2
- Yolo-Segmentation doesn't work with different Backgrounds HOT 2
- 오류 ㅠㅠ HOT 2
- Excuse me, I trained a 5-class detection model with RT-DETR, but reported exceeding the category during inference. How can this error be resolved HOT 4
- Yolov8 in Unity HOT 3
- Confusion Matrix gets me confused HOT 2
- The Batch Normalization layer is not shown in tensorboard HOT 6
- error when i try to run train yolov8 with GPU 1650 HOT 3
- yolov9 export paddle error HOT 4
- Loading engine file on GPU whenever call predict method on a frame of CSI camera even stream=True HOT 4
- UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED HOT 9
- Yaml file problem HOT 1
- Implementing a simple ReID process HOT 1
- Yolov8 Bad detections HOT 5
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