Add optional dataset.yaml path attribute (#3753)

* Add optional dataset.yaml `path` attribute

@KalenMike

* pass locals to python scripts

* handle lists

* update coco128.yaml

* Capitalize first letter

* add test key

* finalize GlobalWheat2020.yaml

* finalize objects365.yaml

* finalize SKU-110K.yaml

* finalize SKU-110K.yaml

* finalize VisDrone.yaml

* NoneType fix

* update download comment

* voc to VOC

* update

* update VOC.yaml

* update VOC.yaml

* remove dashes

* delete get_voc.sh

* force coco and coco128 to ../datasets

* Capitalize Argoverse_HD.yaml

* Capitalize Objects365.yaml

* update Argoverse_HD.yaml

* coco segments fix

* VOC single-thread

* update Argoverse_HD.yaml

* update data_dict in test handling

* create root

test.py

@@ -76,6 +76,11 @@ def run(data,
         # if device.type != 'cpu' and torch.cuda.device_count() > 1:
         #     model = nn.DataParallel(model)
 
+        # Data
+        with open(data) as f:
+            data = yaml.safe_load(f)
+        check_dataset(data)  # check
+
     # Half
     half &= device.type != 'cpu'  # half precision only supported on CUDA
     if half:
@@ -83,10 +88,6 @@ def run(data,
 
     # Configure
     model.eval()
-    if isinstance(data, str):
-        with open(data) as f:
-            data = yaml.safe_load(f)
-    check_dataset(data)  # check
     is_coco = type(data['val']) is str and data['val'].endswith('coco/val2017.txt')  # COCO dataset
     nc = 1 if single_cls else int(data['nc'])  # number of classes
     iouv = torch.linspace(0.5, 0.95, 10).to(device)  # iou vector for mAP@0.5:0.95