Ultralytics Asset URL Update (#14345)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-07-10 21:12:33 +02:00 committed by GitHub
parent 470b120a1b
commit 2d332a1cb1
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35 changed files with 55 additions and 53 deletions

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@ -90,7 +90,7 @@ def test_predict_img(model_name):
batch = [
str(SOURCE), # filename
Path(SOURCE), # Path
"https://github.com/ultralytics/yolov5/releases/download/v1.0/zidane.jpg" if ONLINE else SOURCE, # URI
"https://github.com/ultralytics/assets/releases/download/v0.0.0/zidane.jpg" if ONLINE else SOURCE, # URI
cv2.imread(str(SOURCE)), # OpenCV
Image.open(SOURCE), # PIL
np.zeros((320, 640, 3), dtype=np.uint8), # numpy
@ -149,7 +149,7 @@ def test_track_stream():
Note imgsz=160 required for tracking for higher confidence and better matches.
"""
video_url = "https://github.com/ultralytics/yolov5/releases/download/v1.0/decelera_portrait_min.mov"
video_url = "https://github.com/ultralytics/assets/releases/download/v0.0.0/decelera_portrait_min.mov"
model = YOLO(MODEL)
model.track(video_url, imgsz=160, tracker="bytetrack.yaml")
model.track(video_url, imgsz=160, tracker="botsort.yaml", save_frames=True) # test frame saving also
@ -290,7 +290,7 @@ def test_data_converter():
from ultralytics.data.converter import coco80_to_coco91_class, convert_coco
file = "instances_val2017.json"
download(f"https://github.com/ultralytics/yolov5/releases/download/v1.0/{file}", dir=TMP)
download(f"https://github.com/ultralytics/assets/releases/download/v0.0.0/{file}", dir=TMP)
convert_coco(labels_dir=TMP, save_dir=TMP / "yolo_labels", use_segments=True, use_keypoints=False, cls91to80=True)
coco80_to_coco91_class()