added tests, bump gluoncv version

ci/docker/install/ubuntu_onnx.sh

@@ -30,4 +30,4 @@ echo "Installing libprotobuf-dev and protobuf-compiler ..."
 apt-get update || true
 apt-get install -y libprotobuf-dev protobuf-compiler
 
-pip3 install pytest==6.2.2 pytest-cov==2.11.1 pytest-xdist==2.2.1 protobuf==3.13.0 onnx==1.8.1 Pillow==5.0.0 tabulate==0.7.5 onnxruntime==1.7.0 'numpy>1.16.0,<1.19.0' gluonnlp==0.10.0 gluoncv==0.8.0
+pip3 install pytest==6.2.2 pytest-cov==2.11.1 pytest-xdist==2.2.1 protobuf==3.13.0 onnx==1.8.1 Pillow==5.0.0 tabulate==0.7.5 onnxruntime==1.7.0 'numpy>1.16.0,<1.19.0' gluonnlp==0.10.0 gluoncv==0.10.0

tests/python-pytest/onnx/test_onnxruntime_cv.py

@@ -259,7 +259,7 @@ def obj_detection_test_images(tmpdir_factory):
     'yolo3_mobilenet1.0_voc',
     'ssd_300_vgg16_atrous_coco',
     'ssd_512_vgg16_atrous_coco',
-    # 'ssd_300_resnet34_v1b_coco', #cannot import
+    'ssd_300_resnet34_v1b_coco',
     'ssd_512_resnet50_v1_coco',
     'ssd_512_mobilenet1.0_coco',
     'faster_rcnn_resnet50_v1b_coco',
@@ -389,8 +389,7 @@ def img_segmentation_test_images(tmpdir_factory):
     'deeplab_resnet101_ade',
     'deeplab_resnest50_ade',
     'deeplab_resnest101_ade',
-    # cannot download this model, skipping for now
-    #'deeplab_resnest200_ade',
+    'deeplab_resnest200_ade',
     'deeplab_resnest269_ade',
     'fcn_resnet101_coco',
     'deeplab_resnet101_coco',
@@ -399,7 +398,9 @@ def img_segmentation_test_images(tmpdir_factory):
     'deeplab_resnet152_voc',
     pytest.param('deeplab_resnet50_citys', marks=pytest.mark.integration),
     'deeplab_resnet101_citys',
-    'deeplab_v3b_plus_wideresnet_citys'
+    'deeplab_v3b_plus_wideresnet_citys',
+    'danet_resnet50_citys',
+    'danet_resnet101_citys'
 ])
 def test_img_segmentation_model_inference_onnxruntime(tmp_path, model, img_segmentation_test_images):
     def normalize_image(imgfile):