Skip to content

Commit

Permalink
docs: split artifacts per package
Browse files Browse the repository at this point in the history 
Signed-off-by: Esteve Fernandez <esteve.fernandez@tier4.jp>
  • Loading branch information
@esteve
esteve committed Sep 8, 2023
1 parent f44d063 commit af63d2d
Showing 1 changed file with 80 additions and 22 deletions.
102 changes: 80 additions & 22 deletions docs/models/index.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -11,35 +11,93 @@ The ONNX model files are stored in a common location, hosted by Web.Auto
Any tool that can download files from the web (e.g. `wget` or `curl`) is the only requirement for downloading these files:

```console
$ wget https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint_tiny.onnx \
$ mkdir -p yabloc_pose_initializer \
image_projection_based_fusion \
lidar_apollo_instance_segmentation \
lidar_centerpoint \
tensorrt_yolo \
tensorrt_yolox \
traffic_light_classifier \
traffic_light_fine_detector \
traffic_light_ssd_fine_detector


# yabloc_pose_initializer

$ wget -P ~/autoware_data/yabloc_pose_initializer/ \
https://s3.ap-northeast-2.wasabisys.com/pinto-model-zoo/136_road-segmentation-adas-0001/resources.tar.gz


# image_projection_based_fusion

$ wget -P ~/autoware_data/image_projection_based_fusion/ \
https://awf.ml.dev.web.auto/perception/models/pointpainting/v4/pts_voxel_encoder_pointpainting.onnx \
https://awf.ml.dev.web.auto/perception/models/pointpainting/v4/pts_backbone_neck_head_pointpainting.onnx


# lidar_apollo_instance_segmentation

$ wget -P ~/autoware_data/lidar_apollo_instance_segmentation/ \
https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/vlp-16.onnx \
https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/hdl-64.onnx \
https://awf.ml.dev.web.auto/perception/models/lidar_apollo_instance_segmentation/vls-128.onnx


# lidar_centerpoint

$ wget -P ~/autoware_data/lidar_centerpoint/ \
https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint.onnx \
https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint.onnx \
https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint_tiny.onnx \
https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_voxel_encoder_centerpoint.onnx \
https://awf.ml.dev.web.auto/perception/models/coco.names \
https://awf.ml.dev.web.auto/perception/models/hdl-64.caffemodel \
https://awf.ml.dev.web.auto/perception/models/label.txt \
https://awf.ml.dev.web.auto/perception/models/lamp_labels.txt \
https://awf.ml.dev.web.auto/perception/models/mb2-ssd-lite-tlr.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_mobilenetv2.onnx \
https://awf.ml.dev.web.auto/perception/models/vlp-16.caffemodel \
https://awf.ml.dev.web.auto/perception/models/vls-128.caffemodel \
https://awf.ml.dev.web.auto/perception/models/voc_labels_tl.txt \
https://awf.ml.dev.web.auto/perception/models/centerpoint/v2/pts_backbone_neck_head_centerpoint_tiny.onnx


# tensorrt_yolo

$ wget -P ~/autoware_data/tensorrt_yolo/ \
https://awf.ml.dev.web.auto/perception/models/yolov3.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov4-tiny.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov4.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5l.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5m.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov4-tiny.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5s.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5m.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5l.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov5x.onnx \
https://awf.ml.dev.web.auto/perception/models/coco.names


# tensorrt_yolox

$ wget -P ~/autoware_data/tensorrt_yolox/ \
https://awf.ml.dev.web.auto/perception/models/yolox-tiny.onnx \
https://awf.ml.dev.web.auto/perception/models/yolox-sPlus-opt.onnx \
https://awf.ml.dev.web.auto/perception/models/yolox-sPlus-opt.EntropyV2-calibration.table \
https://awf.ml.dev.web.auto/perception/models/label.txt \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_mobilenetv2_batch_1.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_mobilenetv2_batch_4.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_mobilenetv2_batch_6.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_efficientNet_b1_batch_1.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_efficientNet_b1_batch_4.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier_efficientNet_b1_batch_6.onnx \
https://awf.ml.dev.web.auto/perception/models/lamp_labels.txt
https://awf.ml.dev.web.auto/perception/models/label.txt


# traffic_light_classifier

$ wget -P ~/autoware_data/traffic_light_classifier/ \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_mobilenetv2_batch_1.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_mobilenetv2_batch_4.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_mobilenetv2_batch_6.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_efficientNet_b1_batch_1.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_efficientNet_b1_batch_4.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/traffic_light_classifier_efficientNet_b1_batch_6.onnx \
https://awf.ml.dev.web.auto/perception/models/traffic_light_classifier/v2/lamp_labels.txt


# traffic_light_fine_detector

$ wget -P ~/autoware_data/traffic_light_fine_detector/ \
https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_1.onnx \
https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_4.onnx \
https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_yolox_s_batch_6.onnx \
https://awf.ml.dev.web.auto/perception/models/tlr_yolox_s/v2/tlr_labels.txt


# traffic_light_ssd_fine_detector

$ wget -P ~/autoware_data/traffic_light_ssd_fine_detector/ \
https://awf.ml.dev.web.auto/perception/models/mb2-ssd-lite-tlr.onnx \
https://awf.ml.dev.web.auto/perception/models/voc_labels_tl.txt
```

0 comments on commit af63d2d

Please sign in to comment.