glenn-jocher
commited on
Commit
•
2062765
1
Parent(s):
ca290dc
auto-download v3.1 models (#1259)
Browse files- README.md +6 -6
- utils/google_utils.py +1 -1
README.md
CHANGED
@@ -21,14 +21,14 @@ This repository represents Ultralytics open-source research into future object d
|
|
21 |
|
22 |
| Model | AP<sup>val</sup> | AP<sup>test</sup> | AP<sub>50</sub> | Speed<sub>GPU</sub> | FPS<sub>GPU</sub> || params | FLOPS |
|
23 |
|---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |
|
24 |
-
| [YOLOv5s](https://github.com/ultralytics/yolov5/releases
|
25 |
-
| [YOLOv5m](https://github.com/ultralytics/yolov5/releases
|
26 |
-
| [YOLOv5l](https://github.com/ultralytics/yolov5/releases
|
27 |
-
| [YOLOv5x](https://github.com/ultralytics/yolov5/releases
|
28 |
| | | | | | || |
|
29 |
-
| [YOLOv5x](https://github.com/ultralytics/yolov5/releases
|
30 |
| | | | | | || |
|
31 |
-
| [YOLOv3-SPP](https://github.com/ultralytics/yolov5/releases
|
32 |
|
33 |
** AP<sup>test</sup> denotes COCO [test-dev2017](http://cocodataset.org/#upload) server results, all other AP results in the table denote val2017 accuracy.
|
34 |
** All AP numbers are for single-model single-scale without ensemble or test-time augmentation. **Reproduce** by `python test.py --data coco.yaml --img 640 --conf 0.001`
|
|
|
21 |
|
22 |
| Model | AP<sup>val</sup> | AP<sup>test</sup> | AP<sub>50</sub> | Speed<sub>GPU</sub> | FPS<sub>GPU</sub> || params | FLOPS |
|
23 |
|---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |
|
24 |
+
| [YOLOv5s](https://github.com/ultralytics/yolov5/releases) | 37.0 | 37.0 | 56.2 | **2.4ms** | **416** || 7.5M | 13.2B
|
25 |
+
| [YOLOv5m](https://github.com/ultralytics/yolov5/releases) | 44.3 | 44.3 | 63.2 | 3.4ms | 294 || 21.8M | 39.4B
|
26 |
+
| [YOLOv5l](https://github.com/ultralytics/yolov5/releases) | 47.7 | 47.7 | 66.5 | 4.4ms | 227 || 47.8M | 88.1B
|
27 |
+
| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) | **49.2** | **49.2** | **67.7** | 6.9ms | 145 || 89.0M | 166.4B
|
28 |
| | | | | | || |
|
29 |
+
| [YOLOv5x](https://github.com/ultralytics/yolov5/releases) + TTA|**50.8**| **50.8** | **68.9** | 25.5ms | 39 || 89.0M | 354.3B
|
30 |
| | | | | | || |
|
31 |
+
| [YOLOv3-SPP](https://github.com/ultralytics/yolov5/releases) | 45.6 | 45.5 | 65.2 | 4.5ms | 222 || 63.0M | 118.0B
|
32 |
|
33 |
** AP<sup>test</sup> denotes COCO [test-dev2017](http://cocodataset.org/#upload) server results, all other AP results in the table denote val2017 accuracy.
|
34 |
** All AP numbers are for single-model single-scale without ensemble or test-time augmentation. **Reproduce** by `python test.py --data coco.yaml --img 640 --conf 0.001`
|
utils/google_utils.py
CHANGED
@@ -36,7 +36,7 @@ def attempt_download(weights):
|
|
36 |
# return
|
37 |
|
38 |
try: # GitHub
|
39 |
-
url = 'https://github.com/ultralytics/yolov5/releases/download/v3.
|
40 |
print('Downloading %s to %s...' % (url, weights))
|
41 |
torch.hub.download_url_to_file(url, weights)
|
42 |
assert os.path.exists(weights) and os.path.getsize(weights) > 1E6 # check
|
|
|
36 |
# return
|
37 |
|
38 |
try: # GitHub
|
39 |
+
url = 'https://github.com/ultralytics/yolov5/releases/download/v3.1/' + file
|
40 |
print('Downloading %s to %s...' % (url, weights))
|
41 |
torch.hub.download_url_to_file(url, weights)
|
42 |
assert os.path.exists(weights) and os.path.getsize(weights) > 1E6 # check
|