add mmyolo regression test yml (#359)

configs/deploy/detection_tensorrt-fp16_dynamic-64x64-1344x1344.py

@@ -0,0 +1,13 @@
+_base_ = ['./base_dynamic.py']
+backend_config = dict(
+    type='tensorrt',
+    common_config=dict(fp16_mode=True, max_workspace_size=1 << 32),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 640, 640],
+                    max_shape=[1, 3, 1344, 1344])))
+    ])
+use_efficientnms = False  # whether to replace TRTBatchedNMS plugin with EfficientNMS plugin # noqa E501

tests/regression/mmyolo.yml

@@ -0,0 +1,81 @@
+globals:
+  codebase_dir: ../mmyolo
+  checkpoint_force_download: False
+  images:
+    input_img: &input_img ../mmyolo/demo/demo.jpg
+    test_img: &test_img ./tests/data/tiger.jpeg
+  metric_info: &metric_info
+    box AP: # named after metafile.Results.Metrics
+      metric_key: coco/bbox_mAP # eval OrderedDict key name
+      tolerance: 1 # metric ±n%
+      multi_value: 100
+  convert_image: &convert_image
+    input_img: *input_img
+    test_img: *test_img
+  backend_test: &default_backend_test True
+
+onnxruntime:
+  pipeline_ort_static_fp32: &pipeline_ort_static_fp32
+    convert_image: *convert_image
+    backend_test: False
+    deploy_config: configs/mmyolo/detection_onnxruntime_static.py
+
+  pipeline_ort_dynamic_fp32: &pipeline_ort_dynamic_fp32
+    convert_image: *convert_image
+    backend_test: False
+    deploy_config: configs/mmyolo/detection_onnxruntime_dynamic.py
+
+tensorrt:
+  pipeline_trt_static_fp32: &pipeline_trt_static_fp32_640x640
+    convert_image: *convert_image
+    backend_test: False
+    deploy_config: configs/mmyolo/detection_tensorrt_static-640x640.py
+
+  pipeline_trt_static_fp16: &pipeline_trt_static_fp16_640x640
+    convert_image: *convert_image
+    backend_test: False
+    deploy_config: configs/mmyolo/detection_tensorrt-fp16_static-640x640.py
+
+  pipeline_trt_dynamic_fp32: &pipeline_trt_dynamic_fp32
+    convert_image: *convert_image
+    backend_test: *default_backend_test
+    deploy_config: configs/mmyolo/detection_tensorrt_dynamic-192x192-960x960.py
+
+  pipeline_trt_dynamic_fp16: &pipeline_trt_dynamic_fp16
+    convert_image: *convert_image
+    backend_test: *default_backend_test
+    deploy_config: configs/mmyolo/detection_tensorrt-fp16_dynamic-64x64-1344x1344.py
+
+models:
+  - name: YOLOv5
+    metafile: configs/yolov5/metafile.yml
+    model_configs:
+      - configs/yolov5/yolov5_s-p6-v62_syncbn_fast_8xb16-300e_coco.py
+    pipelines:
+      - *pipeline_ort_dynamic_fp32
+      - *pipeline_trt_dynamic_fp16
+
+  - name: YOLOv6
+    metafile: configs/yolov6/metafile.yml
+    model_configs:
+      - configs/yolov6/yolov6_s_syncbn_fast_8xb32-400e_coco.py
+    pipelines:
+      - *pipeline_ort_dynamic_fp32
+      - *pipeline_trt_dynamic_fp16
+
+  - name: YOLOX
+    metafile: configs/yolox/metafile.yml
+    model_configs:
+      - configs/yolox/yolox_s_8xb8-300e_coco.py
+    pipelines:
+      - *pipeline_ort_dynamic_fp32
+      - *pipeline_trt_dynamic_fp16
+
+
+  - name: RTMDet
+    metafile: configs/rtmdet/metafile.yml
+    model_configs:
+      - configs/rtmdet/rtmdet_s_syncbn_8xb32-300e_coco.py
+    pipelines:
+      - *pipeline_ort_dynamic_fp32
+      - *pipeline_trt_dynamic_fp16