bump version to 1.0.0 (#502)

* bump version to 1.0.0

* yolodataset unit test

README.md

@@ -141,9 +141,9 @@ Besides, We provide a notebook [here](./demo/demo-inference-with-pytorch.ipynb)
 ### Requirements
 
 * Linux or MacOS
-* CUDA >= 10.0
-* Python >= 3.6
-* Pytorch >= 1.10
+* CUDA >= 10.2
+* Python >= 3.7
+* Pytorch >= 1.10.0, <2.0.0
 
 ### Step
 

nanodet/__about__.py

@@ -1,7 +1,7 @@
 import time
 
 _this_year = time.strftime("%Y")
-__version__ = "1.0.0-alpha"
+__version__ = "1.0.0"
 __author__ = "RangiLyu"
 __author_email__ = "[email protected]"
 __license__ = "Apache-2.0"

nanodet/data/dataset/yolo.py

@@ -64,7 +64,7 @@ def _find_image(
 
  def yolo_to_coco(self, ann_path):
  """
- convert xml annotations to coco_api
+ convert yolo annotations to coco_api
  :param ann_path:
  :return:
  """

requirements.txt

@@ -7,11 +7,11 @@ onnx-simplifier
 opencv-python
 pyaml
 pycocotools
-pytorch-lightning>=1.9.0
+pytorch-lightning>=1.9.0,<2.0.0
 tabulate
 tensorboard
 termcolor
-torch>=1.10
+torch>=1.10,<2.0
 torchmetrics
 torchvision
 tqdm

tests/data/test_img.txt

@@ -0,0 +1,6 @@
+0 0.608987 0.354681 0.359542 0.404493
+0 0.719387 0.691062 0.037075 0.074150
+0 0.813105 0.692525 0.032876 0.038088
+0 0.865956 0.690507 0.020801 0.060458
+0 0.922998 0.677377 0.035114 0.085539
+0 0.956160 0.656642 0.021013 0.041487

tests/test_data/test_dataset/test_yolodataset.py

@@ -0,0 +1,17 @@
+from nanodet.data.dataset import YoloDataset
+
+
+def test_yolodataset():
+ ann_path = "tests/data"
+ yolodataset = YoloDataset(
+ img_path=ann_path,
+ ann_path=ann_path,
+ class_names=["class1"],
+ input_size=[320, 320], # [w,h]
+ keep_ratio=False,
+ pipeline=dict(normalize=[[103.53, 116.28, 123.675], [57.375, 57.12, 58.395]]),
+ )
+ assert len(yolodataset) == 1
+ for i, data in enumerate(yolodataset):
+ assert data["img"].shape == (3, 320, 320)
+ assert data["gt_bboxes"].shape == (6, 4)