feat: split directory creation per package

Signed-off-by: Esteve Fernandez <esteve.fernandez@tier4.jp>

docs/models/index.md

@@ -11,32 +11,24 @@ 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
-$ 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
 
+$ 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/ \
        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/ \
        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 \
@@ -45,6 +37,7 @@ $ wget -P ~/autoware_data/lidar_apollo_instance_segmentation/ \
 
 # 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 \
@@ -54,6 +47,7 @@ $ wget -P ~/autoware_data/lidar_centerpoint/ \
 
 # 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 \
@@ -67,6 +61,7 @@ $ wget -P ~/autoware_data/tensorrt_yolo/ \
 
 # 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 \
@@ -76,6 +71,7 @@ $ wget -P ~/autoware_data/tensorrt_yolox/ \
 
 # 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 \
@@ -88,6 +84,7 @@ $ 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/ \
        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 \
@@ -97,6 +94,7 @@ $ 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/ \
        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