From 4ecd6b13c285ba1f1ca37a111d7f27e62db0688c Mon Sep 17 00:00:00 2001 From: David Gossow <45422976+david-vay@users.noreply.github.com> Date: Tue, 24 Oct 2023 11:05:02 +0200 Subject: [PATCH] Remove $ signs from artifacts/README.md In order to be able to copy-paste the shell commands, need to remove the dollar signs. --- ansible/roles/artifacts/README.md | 64 +++++++++++++++---------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/ansible/roles/artifacts/README.md b/ansible/roles/artifacts/README.md index 144b6432ba1..1012fb6ee43 100644 --- a/ansible/roles/artifacts/README.md +++ b/ansible/roles/artifacts/README.md @@ -11,23 +11,23 @@ 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 @@ -35,8 +35,8 @@ $ wget -P ~/autoware_data/lidar_apollo_instance_segmentation/ \ # 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 \ @@ -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 \ @@ -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 \ @@ -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 \ @@ -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 \ @@ -94,32 +94,32 @@ $ 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 ``` @@ -127,8 +127,8 @@ 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: @@ -136,26 +136,26 @@ 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 ```