Ultralytics Asset URL Update (#13181)

Refactor code for speed and clarity
ultralytics · Jul 10, 2024 · 150a1a3 · 150a1a3
1 parent ff06328
commit 150a1a3
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diff --git a/README.md b/README.md
@@ -414,22 +414,22 @@ Get started in seconds with our verified environments. Click each icon below for
 
 <div align="center">
   <a href="https://bit.ly/yolov5-paperspace-notebook">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gradient.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-gradient.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-colab-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-colab-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://www.kaggle.com/ultralytics/yolov5">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-kaggle-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-kaggle-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://hub.docker.com/r/ultralytics/yolov5">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-docker-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://docs.ultralytics.com/yolov5/environments/aws_quickstart_tutorial/">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-aws-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-gcp-small.png" width="10%" /></a>
 </div>
 
 ## <div align="center">Contribute</div>

diff --git a/README.zh-CN.md b/README.zh-CN.md
@@ -413,22 +413,22 @@ python export.py --weights yolov5s-cls.pt resnet50.pt efficientnet_b0.pt --inclu
 
 <div align="center">
   <a href="https://bit.ly/yolov5-paperspace-notebook">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gradient.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-gradient.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://colab.research.google.com/github/ultralytics/yolov5/blob/master/tutorial.ipynb">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-colab-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-colab-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://www.kaggle.com/ultralytics/yolov5">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-kaggle-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-kaggle-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://hub.docker.com/r/ultralytics/yolov5">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-docker-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-docker-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://docs.ultralytics.com/yolov5/environments/aws_quickstart_tutorial/">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-aws-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-aws-small.png" width="10%" /></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="5%" alt="" />
   <a href="https://docs.ultralytics.com/yolov5/environments/google_cloud_quickstart_tutorial/">
-    <img src="https://github.com/ultralytics/yolov5/releases/download/v1.0/logo-gcp-small.png" width="10%" /></a>
+    <img src="https://github.com/ultralytics/assets/releases/download/v0.0.0/logo-gcp-small.png" width="10%" /></a>
 </div>
 
 ## <div align="center">贡献</div>

diff --git a/classify/train.py b/classify/train.py
@@ -109,7 +109,7 @@ def train(opt, device):
             if str(data) == "imagenet":
                 subprocess.run(["bash", str(ROOT / "data/scripts/get_imagenet.sh")], shell=True, check=True)
             else:
-                url = f"https://github.com/ultralytics/yolov5/releases/download/v1.0/{data}.zip"
+                url = f"https://github.com/ultralytics/assets/releases/download/v0.0.0/{data}.zip"
                 download(url, dir=data_dir.parent)
             s = f"Dataset download success ✅ ({time.time() - t:.1f}s), saved to {colorstr('bold', data_dir)}\n"
             LOGGER.info(s)

diff --git a/classify/tutorial.ipynb b/classify/tutorial.ipynb
@@ -1290,7 +1290,7 @@
             "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train-cls', view at http://localhost:6006/\n",
             "\n",
             "Dataset not found ⚠️, missing path /content/datasets/imagenette160, attempting download...\n",
-            "Downloading https://github.com/ultralytics/yolov5/releases/download/v1.0/imagenette160.zip to /content/datasets/imagenette160.zip...\n",
+            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/imagenette160.zip to /content/datasets/imagenette160.zip...\n",
             "100% 103M/103M [00:00<00:00, 347MB/s] \n",
             "Unzipping /content/datasets/imagenette160.zip...\n",
             "Dataset download success ✅ (3.3s), saved to \u001b[1m/content/datasets/imagenette160\u001b[0m\n",

diff --git a/data/GlobalWheat2020.yaml b/data/GlobalWheat2020.yaml
@@ -36,7 +36,7 @@ download: |
   # Download
   dir = Path(yaml['path'])  # dataset root dir
   urls = ['https://zenodo.org/record/4298502/files/global-wheat-codalab-official.zip',
-          'https://github.com/ultralytics/yolov5/releases/download/v1.0/GlobalWheat2020_labels.zip']
+          'https://github.com/ultralytics/assets/releases/download/v0.0.0/GlobalWheat2020_labels.zip']
   download(urls, dir=dir)
 
   # Make Directories

diff --git a/data/VOC.yaml b/data/VOC.yaml
@@ -75,7 +75,7 @@ download: |
 
   # Download
   dir = Path(yaml['path'])  # dataset root dir
-  url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
+  url = 'https://github.com/ultralytics/assets/releases/download/v0.0.0/'
   urls = [f'{url}VOCtrainval_06-Nov-2007.zip',  # 446MB, 5012 images
           f'{url}VOCtest_06-Nov-2007.zip',  # 438MB, 4953 images
           f'{url}VOCtrainval_11-May-2012.zip']  # 1.95GB, 17126 images

diff --git a/data/VisDrone.yaml b/data/VisDrone.yaml
@@ -57,10 +57,10 @@ download: |
 
   # Download
   dir = Path(yaml['path'])  # dataset root dir
-  urls = ['https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-train.zip',
-          'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-val.zip',
-          'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-test-dev.zip',
-          'https://github.com/ultralytics/yolov5/releases/download/v1.0/VisDrone2019-DET-test-challenge.zip']
+  urls = ['https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-train.zip',
+          'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-val.zip',
+          'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-dev.zip',
+          'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-challenge.zip']
   download(urls, dir=dir, curl=True, threads=4)
 
   # Convert

diff --git a/data/coco.yaml b/data/coco.yaml
@@ -103,7 +103,7 @@ download: |
   # Download labels
   segments = False  # segment or box labels
   dir = Path(yaml['path'])  # dataset root dir
-  url = 'https://github.com/ultralytics/yolov5/releases/download/v1.0/'
+  url = 'https://github.com/ultralytics/assets/releases/download/v0.0.0/'
   urls = [url + ('coco2017labels-segments.zip' if segments else 'coco2017labels.zip')]  # labels
   download(urls, dir=dir.parent)
 

diff --git a/data/coco128-seg.yaml b/data/coco128-seg.yaml
@@ -96,4 +96,4 @@ names:
   79: toothbrush
 
 # Download script/URL (optional)
-download: https://ultralytics.com/assets/coco128-seg.zip
+download: https://github.com/ultralytics/assets/releases/download/v0.0.0/coco128-seg.zip
diff --git a/data/coco128.yaml b/data/coco128.yaml
@@ -96,4 +96,4 @@ names:
   79: toothbrush
 
 # Download script/URL (optional)
-download: https://ultralytics.com/assets/coco128.zip
+download: https://github.com/ultralytics/assets/releases/download/v0.0.0/coco128.zip
diff --git a/segment/tutorial.ipynb b/segment/tutorial.ipynb
@@ -162,7 +162,7 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Downloading https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels-segments.zip  ...\n",
+            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017labels-segments.zip  ...\n",
             "Downloading http://images.cocodataset.org/zips/val2017.zip ...\n",
             "######################################################################## 100.0%\n",
             "######################################################################## 100.0%\n"
@@ -286,7 +286,7 @@
             "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train-seg', view at http://localhost:6006/\n",
             "\n",
             "Dataset not found ⚠️, missing paths ['/content/datasets/coco128-seg/images/train2017']\n",
-            "Downloading https://ultralytics.com/assets/coco128-seg.zip to coco128-seg.zip...\n",
+            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/coco128-seg.zip to coco128-seg.zip...\n",
             "100% 6.79M/6.79M [00:01<00:00, 6.73MB/s]\n",
             "Dataset download success ✅ (1.9s), saved to \u001b[1m/content/datasets\u001b[0m\n",
             "\n",

diff --git a/tutorial.ipynb b/tutorial.ipynb
@@ -170,7 +170,7 @@
       },
       "source": [
         "# Download COCO val\n",
-        "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip')  # download (780M - 5000 images)\n",
+        "torch.hub.download_url_to_file('https://github.com/ultralytics/assets/releases/download/v0.0.0/coco2017val.zip', 'tmp.zip')  # download (780M - 5000 images)\n",
         "!unzip -q tmp.zip -d ../datasets && rm tmp.zip  # unzip"
       ],
       "execution_count": null,
@@ -326,7 +326,7 @@
             "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
             "\n",
             "Dataset not found ⚠️, missing paths ['/content/datasets/coco128/images/train2017']\n",
-            "Downloading https://ultralytics.com/assets/coco128.zip to coco128.zip...\n",
+            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/coco128.zip to coco128.zip...\n",
             "100% 6.66M/6.66M [00:00<00:00, 75.6MB/s]\n",
             "Dataset download success ✅ (0.6s), saved to \u001b[1m/content/datasets\u001b[0m\n",
             "\n",

diff --git a/utils/general.py b/utils/general.py
@@ -59,7 +59,7 @@
 AUTOINSTALL = str(os.getenv("YOLOv5_AUTOINSTALL", True)).lower() == "true"  # global auto-install mode
 VERBOSE = str(os.getenv("YOLOv5_VERBOSE", True)).lower() == "true"  # global verbose mode
 TQDM_BAR_FORMAT = "{l_bar}{bar:10}{r_bar}"  # tqdm bar format
-FONT = "Arial.ttf"  # https://ultralytics.com/assets/Arial.ttf
+FONT = "Arial.ttf"  # https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf
 
 torch.set_printoptions(linewidth=320, precision=5, profile="long")
 np.set_printoptions(linewidth=320, formatter={"float_kind": "{:11.5g}".format})  # format short g, %precision=5
@@ -511,7 +511,7 @@ def check_font(font=FONT, progress=False):
     font = Path(font)
     file = CONFIG_DIR / font.name
     if not font.exists() and not file.exists():
-        url = f"https://ultralytics.com/assets/{font.name}"
+        url = f"https://github.com/ultralytics/assets/releases/download/v0.0.0/{font.name}"
         LOGGER.info(f"Downloading {url} to {file}...")
         torch.hub.download_url_to_file(url, str(file), progress=progress)