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Remove $ signs from artifacts/README.md
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In order to be able to copy-paste the shell commands,
need to remove the dollar signs.
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@david-vay
david-vay authored Oct 24, 2023
1 parent b92953c commit 4ecd6b1
Showing 1 changed file with 32 additions and 32 deletions.
64 changes: 32 additions & 32 deletions ansible/roles/artifacts/README.md
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Expand Up @@ -11,32 +11,32 @@ Any tool that can download files from the web (e.g. `wget` or `curl`) is the onl
```console
# yabloc_pose_initializer

$ mkdir -p ~/autoware_data/yabloc_pose_initializer/
$ wget -P ~/autoware_data/yabloc_pose_initializer/ \
mkdir -p ~/autoware_data/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

$ mkdir -p ~/autoware_data/image_projection_based_fusion/
$ wget -P ~/autoware_data/image_projection_based_fusion/ \
mkdir -p ~/autoware_data/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

$ mkdir -p ~/autoware_data/lidar_apollo_instance_segmentation/
$ wget -P ~/autoware_data/lidar_apollo_instance_segmentation/ \
mkdir -p ~/autoware_data/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

$ mkdir -p ~/autoware_data/lidar_centerpoint/
$ wget -P ~/autoware_data/lidar_centerpoint/ \
mkdir -p ~/autoware_data/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 \
Expand All @@ -45,8 +45,8 @@ $ wget -P ~/autoware_data/lidar_centerpoint/ \

# tensorrt_yolo

$ mkdir -p ~/autoware_data/tensorrt_yolo/
$ wget -P ~/autoware_data/tensorrt_yolo/ \
mkdir -p ~/autoware_data/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.onnx \
https://awf.ml.dev.web.auto/perception/models/yolov4-tiny.onnx \
Expand All @@ -59,8 +59,8 @@ $ wget -P ~/autoware_data/tensorrt_yolo/ \

# tensorrt_yolox

$ mkdir -p ~/autoware_data/tensorrt_yolox/
$ wget -P ~/autoware_data/tensorrt_yolox/ \
mkdir -p ~/autoware_data/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 \
Expand All @@ -71,8 +71,8 @@ $ wget -P ~/autoware_data/tensorrt_yolox/ \

# traffic_light_classifier

$ mkdir -p ~/autoware_data/traffic_light_classifier/
$ wget -P ~/autoware_data/traffic_light_classifier/ \
mkdir -p ~/autoware_data/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 \
Expand All @@ -84,8 +84,8 @@ $ wget -P ~/autoware_data/traffic_light_classifier/ \

# traffic_light_fine_detector

$ mkdir -p ~/autoware_data/traffic_light_fine_detector/
$ wget -P ~/autoware_data/traffic_light_fine_detector/ \
mkdir -p ~/autoware_data/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 \
Expand All @@ -94,68 +94,68 @@ $ wget -P ~/autoware_data/traffic_light_fine_detector/ \

# traffic_light_ssd_fine_detector

$ mkdir -p ~/autoware_data/traffic_light_ssd_fine_detector/
$ wget -P ~/autoware_data/traffic_light_ssd_fine_detector/ \
mkdir -p ~/autoware_data/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


# tvm_utility

$ mkdir -p ~/autoware_data/tvm_utility/models/yolo_v2_tiny
$ wget -P ~/autoware_data/tvm_utility/ \
mkdir -p ~/autoware_data/tvm_utility/models/yolo_v2_tiny
wget -P ~/autoware_data/tvm_utility/ \
https://autoware-modelzoo.s3.us-east-2.amazonaws.com/models/3.0.0-20221221/yolo_v2_tiny-x86_64-llvm-3.0.0-20221221.tar.gz


# lidar_centerpoint_tvm

$ mkdir -p ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_encoder
$ mkdir -p ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_backbone
$ wget -P ~/autoware_data/lidar_centerpoint_tvm/ \
mkdir -p ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_encoder
mkdir -p ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_backbone
wget -P ~/autoware_data/lidar_centerpoint_tvm/ \
https://autoware-modelzoo.s3.us-east-2.amazonaws.com/models/3.0.0-20221221/centerpoint_encoder-x86_64-llvm-3.0.0-20221221.tar.gz \
https://autoware-modelzoo.s3.us-east-2.amazonaws.com/models/3.0.0-20221221/centerpoint_backbone-x86_64-llvm-3.0.0-20221221.tar.gz


# lidar_apollo_segmentation_tvm

$ mkdir -p ~/autoware_data/lidar_apollo_segmentation_tvm/models/baidu_cnn
$ wget -P ~/autoware_data/lidar_apollo_segmentation_tvm/ \
mkdir -p ~/autoware_data/lidar_apollo_segmentation_tvm/models/baidu_cnn
wget -P ~/autoware_data/lidar_apollo_segmentation_tvm/ \
https://autoware-modelzoo.s3.us-east-2.amazonaws.com/models/3.0.0-20221221/baidu_cnn-x86_64-llvm-3.0.0-20221221.tar.gz
```

After downloading you can check integrity of the files with `sha256sum`:

```console
#
$ cd ~/autoware_data/
$ wget -q -O - https://raw.githubusercontent.com/autowarefoundation/autoware/main/ansible/roles/artifacts/SHA256SUMS | sha256sum -c
cd ~/autoware_data/
wget -q -O - https://raw.githubusercontent.com/autowarefoundation/autoware/main/ansible/roles/artifacts/SHA256SUMS | sha256sum -c
```

Extracting files:

```console
# yabloc_pose_initializer

$ tar -xf ~/autoware_data/yabloc_pose_initializer/resources.tar.gz \
tar -xf ~/autoware_data/yabloc_pose_initializer/resources.tar.gz \
-C ~/autoware_data/yabloc_pose_initializer/


# tvm_utility

$ tar -xf ~/autoware_data/tvm_utility/yolo_v2_tiny-x86_64-llvm-3.0.0-20221221.tar.gz \
tar -xf ~/autoware_data/tvm_utility/yolo_v2_tiny-x86_64-llvm-3.0.0-20221221.tar.gz \
-C ~/autoware_data/tvm_utility/models/yolo_v2_tiny/


# lidar_centerpoint_tvm

$ tar -xf ~/autoware_data/lidar_centerpoint_tvm/centerpoint_encoder-x86_64-llvm-3.0.0-20221221.tar.gz \
tar -xf ~/autoware_data/lidar_centerpoint_tvm/centerpoint_encoder-x86_64-llvm-3.0.0-20221221.tar.gz \
-C ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_encoder
$ tar -xf ~/autoware_data/lidar_centerpoint_tvm/centerpoint_backbone-x86_64-llvm-3.0.0-20221221.tar.gz \
tar -xf ~/autoware_data/lidar_centerpoint_tvm/centerpoint_backbone-x86_64-llvm-3.0.0-20221221.tar.gz \
-C ~/autoware_data/lidar_centerpoint_tvm/models/centerpoint_backbone


# lidar_apollo_segmentation_tvm

$ tar -xf ~/autoware_data/lidar_apollo_segmentation_tvm/baidu_cnn-x86_64-llvm-3.0.0-20221221.tar.gz \
tar -xf ~/autoware_data/lidar_apollo_segmentation_tvm/baidu_cnn-x86_64-llvm-3.0.0-20221221.tar.gz \
-C ~/autoware_data/lidar_apollo_segmentation_tvm/models/baidu_cnn
```

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