Feature/fix export on url

export.py

@@ -41,7 +41,7 @@
 from models.yolo import Detect
 from utils.activations import SiLU
 from utils.datasets import LoadImages
-from utils.general import colorstr, check_dataset, check_img_size, check_requirements, file_size, set_logging
+from utils.general import colorstr, check_dataset, check_img_size, check_requirements, file_size, set_logging, url2file
 from utils.torch_utils import select_device
 
 
@@ -244,7 +244,7 @@ def run(data=ROOT / 'data/coco128.yaml',  # 'dataset.yaml path'
     include = [x.lower() for x in include]
     tf_exports = list(x in include for x in ('saved_model', 'pb', 'tflite', 'tfjs'))  # TensorFlow exports
     imgsz *= 2 if len(imgsz) == 1 else 1  # expand
-    file = Path(weights)
+    file = Path(url2file(weights) if str(weights).startswith(('http:/', 'https:/')) else weights)
 
     # Load PyTorch model
     device = select_device(device)

utils/general.py

@@ -360,6 +360,13 @@ def check_dataset(data, autodownload=True):
     return data  # dictionary
 
 
+def url2file(url):
+    # Convert URL to filename, i.e. https://url.com/file.txt?auth -> file.txt
+    url = str(Path(url)).replace(':/', '://')  # Pathlib turns :// -> :/
+    file = Path(urllib.parse.unquote(url)).name.split('?')[0]  # '%2F' to '/', split https://url.com/file.txt?auth
+    return file
+
+
 def download(url, dir='.', unzip=True, delete=True, curl=False, threads=1):
     # Multi-threaded file download and unzip function, used in data.yaml for autodownload
     def download_one(url, dir):