Open Redouxne opened 6 months ago
Ultralytics have not included yolov9 yet..
You have to check with ultralytics directly They plan to implement a yolov9 model if I don't say something stupid https://docs.ultralytics.com/fr/models/yolov9/#integration-and-future-directions
Ultralytics have not included yolov9 yet..
What I wanted was to take the Yolov8 code that I cited and reproduce the box recovery functionality but on Yolov9 and without going through the
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
results = model.predict(source='PATH_TO_IMAGE', conf=0.25)
But adapting this code to the V9 version.
Thanks
@Redouxne Check out my notebook at deepinvalue/yolov9-supervision-tracking-counting. I believe it could be adapted to achieve what you're looking for.
Hi @Redouxne, Is this what you are referring to?
model = DetectMultiBackend(weights='path_to_weight', device=device, fuse=True)
results = AutoShape(model(path_to_image))
for det in results.pred[0]:
bbox = det[:4]
x1, y1, x2, y2 = map(int, bbox)
You can find more details and context on how to use it on YOLOv9_DeepSORT
Please don;t worry, I request you to please wait for 24-48 hours, and allow us time to look into it, we will surely get into the best possible resolution.
@Redouxne Check out my notebook at deepinvalue/yolov9-supervision-tracking-counting. I believe it could be adapted to achieve what you're looking for.
It's not working for Live Inference. I think you would call the process_video
function to do live inference as;
yolov9_config=dict(conf=0.3, iou=0.45, classes=[0, 2, 3])
process_video(model, config=yolov9_config, counting_zone=None, show_labels=True, source_path=1,
target_path='output/otpt_5.mp4')
The code starts running and completes within a second but does nothing. No screen shows up.
are you trying to get the bounding box from the image to be predicted? I think comments from @sujanshresstha should be able to work.
Hi,
I want to get the bboxes frome Yolov9 with this code which works with Yolov8.
Here is thee code that I use for Yolov8:
How can I get the results witth Yolov9 in a way that allow me to implement it with SAM later ?