From 7f6f7bc164e033390b1a06563354ec494bb0cceb Mon Sep 17 00:00:00 2001 From: Darren Tsai Date: Mon, 30 Dec 2024 10:19:07 +1100 Subject: [PATCH 1/5] chore: set up docker, dev env and deps --- docker-compose.yaml | 27 +++++++++++++++++++++++++++ docker/Dockerfile | 11 +++++++++++ rtdetrv2_pytorch/.vscode/launch.json | 25 +++++++++++++++++++++++++ rtdetrv2_pytorch/requirements.txt | 13 ++++++++++--- 4 files changed, 73 insertions(+), 3 deletions(-) create mode 100644 docker-compose.yaml create mode 100644 docker/Dockerfile create mode 100644 rtdetrv2_pytorch/.vscode/launch.json diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 00000000..da6da0a5 --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,27 @@ +services: + rt_detr: + container_name: rt_detr + image: rt_detr:latest + build: + context: ./ + dockerfile: docker/Dockerfile + args: + - TARGET_PATH=. + volumes: + - ./rtdetrv2_pytorch:/home/ros/RT-DETR + - ./benchmark:/home/ros/RT-DETR/benchmark + - /mnt/gr-nas/visionai-data:/home/ros/RT-DETR/data + - /tmp/.X11-unix:/tmp/.X11-unix:rw + env_file: docker/.env + privileged: true + working_dir: /home/ros/RT-DETR + user: ros + ipc: host + network_mode: host + deploy: + resources: + reservations: + devices: + - driver: nvidia + device_ids: ['0'] + capabilities: [gpu] \ No newline at end of file diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 00000000..9c6836f6 --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,11 @@ +FROM ghcr.io/greenroom-robotics/ros_builder:jazzy-latest-cuda + +COPY rtdetrv2_pytorch/requirements.txt /tmp/requirements.txt +RUN pip install -r /tmp/requirements.txt --user + +RUN sudo apt-get update && sudo apt-get install python3-opencv + +# Misc dependencies +RUN pip install debugpy + +CMD ["tail", "-f", "/dev/null"] \ No newline at end of file diff --git a/rtdetrv2_pytorch/.vscode/launch.json b/rtdetrv2_pytorch/.vscode/launch.json new file mode 100644 index 00000000..5a0a33b9 --- /dev/null +++ b/rtdetrv2_pytorch/.vscode/launch.json @@ -0,0 +1,25 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + + { + "name": "Python Debugger: Remote Attach", + "type": "debugpy", + "request": "attach", + "connect": { + "host": "localhost", + "port": 5678 + }, + "pathMappings": [ + { + "localRoot": "/home/ros/RT-DETR", + "remoteRoot": "/home/ros/RT-DETR" + } + ], + "justMyCode": false, + } + ] +} \ No newline at end of file diff --git a/rtdetrv2_pytorch/requirements.txt b/rtdetrv2_pytorch/requirements.txt index f1be6a6e..2f6f53c5 100644 --- a/rtdetrv2_pytorch/requirements.txt +++ b/rtdetrv2_pytorch/requirements.txt @@ -1,5 +1,12 @@ -torch>=2.0.1 -torchvision>=0.15.2 +torch==2.4.* +torchvision==0.19.* pycocotools PyYAML -tensorboard \ No newline at end of file +tensorboard +scipy + +# Onnx deployment and inference +onnx +onnxsim +onnxruntime-gpu +tqdm \ No newline at end of file From 3fce7f5010190e5f3a9498b58fb037e31e34c487 Mon Sep 17 00:00:00 2001 From: Darren Tsai Date: Mon, 30 Dec 2024 10:19:51 +1100 Subject: [PATCH 2/5] chore: add dev container --- .devcontainer/devcontainer.json | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 .devcontainer/devcontainer.json diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 00000000..17d59c48 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,20 @@ +{ + "name": "rt_detr", + "dockerComposeFile": [ + "../docker-compose.yaml" + ], + "service": "rt_detr", + "workspaceFolder": "/home/ros/RT-DETR", + "shutdownAction": "stopCompose", + "customizations": { + "vscode": { + "settings": { + "remote.autoForwardPorts": false + }, + "extensions": [ + "ms-python.python", + "ms-python.debugpy" + ] + } + } +} \ No newline at end of file From a68de95907c648964108724f8be3231e608acc5b Mon Sep 17 00:00:00 2001 From: Darren Tsai Date: Mon, 30 Dec 2024 10:20:45 +1100 Subject: [PATCH 3/5] feat: working baseline gr configuration --- .../configs/dataset/gr_detection.yml | 42 ++++++++++ .../configs/gr/include/dataloader.yml | 38 +++++++++ .../configs/gr/include/optimizer.yml | 37 +++++++++ .../configs/gr/include/rtdetrv2_r50vd.yml | 83 +++++++++++++++++++ .../configs/gr/rtdetrv2_r18vd_10e_gr.yml | 67 +++++++++++++++ .../gr/rtdetrv2_r18vd_50e_gr_overfit.yml | 67 +++++++++++++++ .../src/data/transforms/_transforms.py | 4 + 7 files changed, 338 insertions(+) create mode 100644 rtdetrv2_pytorch/configs/dataset/gr_detection.yml create mode 100644 rtdetrv2_pytorch/configs/gr/include/dataloader.yml create mode 100644 rtdetrv2_pytorch/configs/gr/include/optimizer.yml create mode 100644 rtdetrv2_pytorch/configs/gr/include/rtdetrv2_r50vd.yml create mode 100644 rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_10e_gr.yml create mode 100644 rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_50e_gr_overfit.yml diff --git a/rtdetrv2_pytorch/configs/dataset/gr_detection.yml b/rtdetrv2_pytorch/configs/dataset/gr_detection.yml new file mode 100644 index 00000000..5a65aca2 --- /dev/null +++ b/rtdetrv2_pytorch/configs/dataset/gr_detection.yml @@ -0,0 +1,42 @@ +task: detection + +evaluator: + type: CocoEvaluator + iou_types: ['bbox', ] + +num_classes: 5 # Has to be actual number of classes + 1 +remap_mscoco_category: False + + +train_dataloader: + type: DataLoader + dataset: + type: CocoDetection + img_folder: ./data + ann_file: ./data/datasets/image/experiments/e24-007-d24-002-traintestsplit/coco_labels/split_train.mapped.json + return_masks: False + transforms: + type: Compose + ops: ~ + shuffle: True + num_workers: 4 + drop_last: True + collate_fn: + type: BatchImageCollateFuncion + + +val_dataloader: + type: DataLoader + dataset: + type: CocoDetection + img_folder: ./data + ann_file: ./data/datasets/image/experiments/e24-007-d24-002-traintestsplit/coco_labels/split_test.mapped.json + return_masks: False + transforms: + type: Compose + ops: ~ + shuffle: False + num_workers: 4 + drop_last: False + collate_fn: + type: BatchImageCollateFuncion diff --git a/rtdetrv2_pytorch/configs/gr/include/dataloader.yml b/rtdetrv2_pytorch/configs/gr/include/dataloader.yml new file mode 100644 index 00000000..2bb532df --- /dev/null +++ b/rtdetrv2_pytorch/configs/gr/include/dataloader.yml @@ -0,0 +1,38 @@ + +train_dataloader: + dataset: + transforms: + ops: + - {type: RandomPhotometricDistort, p: 0.5} + - {type: RandomZoomOut, fill: 0} + - {type: RandomIoUCrop, p: 0.8} + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: RandomHorizontalFlip} + - {type: Resize, size: [640, 640], } + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + - {type: ConvertBoxes, fmt: 'cxcywh', normalize: True} + policy: + name: stop_epoch + epoch: 71 # epoch in [71, ~) stop `ops` + ops: ['RandomPhotometricDistort', 'RandomZoomOut', 'RandomIoUCrop'] + + collate_fn: + type: BatchImageCollateFuncion + scales: [480, 512, 544, 576, 608, 640, 640, 640, 672, 704, 736, 768, 800] + stop_epoch: 71 # epoch in [71, ~) stop `multiscales` + + shuffle: True + total_batch_size: 16 # total batch size equals to 16 (4 * 4) + num_workers: 4 + + +val_dataloader: + dataset: + transforms: + ops: + - {type: Resize, size: [640, 640]} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + shuffle: False + total_batch_size: 32 + num_workers: 4 \ No newline at end of file diff --git a/rtdetrv2_pytorch/configs/gr/include/optimizer.yml b/rtdetrv2_pytorch/configs/gr/include/optimizer.yml new file mode 100644 index 00000000..189a9a1d --- /dev/null +++ b/rtdetrv2_pytorch/configs/gr/include/optimizer.yml @@ -0,0 +1,37 @@ + +use_amp: True +use_ema: True +ema: + type: ModelEMA + decay: 0.9999 + warmups: 2000 + + +epoches: 72 +clip_max_norm: 0.1 + + +optimizer: + type: AdamW + params: + - + params: '^(?=.*backbone)(?!.*norm).*$' + lr: 0.00001 + - + params: '^(?=.*(?:encoder|decoder))(?=.*(?:norm|bn)).*$' + weight_decay: 0. + + lr: 0.0001 + betas: [0.9, 0.999] + weight_decay: 0.0001 + + +lr_scheduler: + type: MultiStepLR + milestones: [1000] + gamma: 0.1 + + +lr_warmup_scheduler: + type: LinearWarmup + warmup_duration: 2000 \ No newline at end of file diff --git a/rtdetrv2_pytorch/configs/gr/include/rtdetrv2_r50vd.yml b/rtdetrv2_pytorch/configs/gr/include/rtdetrv2_r50vd.yml new file mode 100644 index 00000000..a5c14909 --- /dev/null +++ b/rtdetrv2_pytorch/configs/gr/include/rtdetrv2_r50vd.yml @@ -0,0 +1,83 @@ +task: detection + +model: RTDETR +criterion: RTDETRCriterionv2 +postprocessor: RTDETRPostProcessor + + +use_focal_loss: True +eval_spatial_size: [640, 640] # h w + + +RTDETR: + backbone: PResNet + encoder: HybridEncoder + decoder: RTDETRTransformerv2 + + +PResNet: + depth: 50 + variant: d + freeze_at: 0 + return_idx: [1, 2, 3] + num_stages: 4 + freeze_norm: True + pretrained: True + + +HybridEncoder: + in_channels: [512, 1024, 2048] + feat_strides: [8, 16, 32] + + # intra + hidden_dim: 256 + use_encoder_idx: [2] + num_encoder_layers: 1 + nhead: 8 + dim_feedforward: 1024 + dropout: 0. + enc_act: 'gelu' + + # cross + expansion: 1.0 + depth_mult: 1 + act: 'silu' + + +RTDETRTransformerv2: + feat_channels: [256, 256, 256] + feat_strides: [8, 16, 32] + hidden_dim: 256 + num_levels: 3 + + num_layers: 6 + num_queries: 300 + + num_denoising: 100 + label_noise_ratio: 0.5 + box_noise_scale: 1.0 # 1.0 0.4 + + eval_idx: -1 + + # NEW + num_points: [4, 4, 4] # [3,3,3] [2,2,2] + cross_attn_method: default # default, discrete + query_select_method: default # default, agnostic + + +RTDETRPostProcessor: + num_top_queries: 300 + + +RTDETRCriterionv2: + weight_dict: {loss_vfl: 1, loss_bbox: 5, loss_giou: 2,} + losses: ['vfl', 'boxes', ] + alpha: 0.75 + gamma: 2.0 + + matcher: + type: HungarianMatcher + weight_dict: {cost_class: 2, cost_bbox: 5, cost_giou: 2} + alpha: 0.25 + gamma: 2.0 + diff --git a/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_10e_gr.yml b/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_10e_gr.yml new file mode 100644 index 00000000..c459e9a0 --- /dev/null +++ b/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_10e_gr.yml @@ -0,0 +1,67 @@ +__include__: [ + '../dataset/gr_detection.yml', + './include/dataloader.yml', + './include/optimizer.yml', + './include/rtdetrv2_r50vd.yml', + '../runtime.yml', +] + + +output_dir: ./output/rtdetrv2_r18vd_10e + + +PResNet: + depth: 18 + freeze_at: -1 + freeze_norm: False + pretrained: True + + +HybridEncoder: + in_channels: [128, 256, 512] + hidden_dim: 256 + expansion: 0.5 + + +RTDETRTransformerv2: + num_layers: 3 + + +epoches: 10 + +optimizer: + type: AdamW + params: + - + params: '^(?=.*(?:norm|bn)).*$' + weight_decay: 0. + +eval_spatial_size: [1280, 1280] + +train_dataloader: + dataset: + transforms: + ops: + - {type: RandomPhotometricDistort, p: 0.5} + - {type: RandomZoomOut, fill: 0} + - {type: RandomIoUCrop, p: 0.8} + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: RandomHorizontalFlip} + - {type: Resize, size: [1280, 1280], } + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + - {type: ConvertBoxes, fmt: 'cxcywh', normalize: True} + policy: + epoch: 45 + collate_fn: + scales: ~ + + total_batch_size: 6 + +val_dataloader: + dataset: + transforms: + ops: + - {type: Resize, size: [1280, 1280]} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + total_batch_size: 12 \ No newline at end of file diff --git a/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_50e_gr_overfit.yml b/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_50e_gr_overfit.yml new file mode 100644 index 00000000..49264663 --- /dev/null +++ b/rtdetrv2_pytorch/configs/gr/rtdetrv2_r18vd_50e_gr_overfit.yml @@ -0,0 +1,67 @@ +__include__: [ + '../dataset/gr_detection_pilot.yml', + './include/dataloader.yml', + './include/optimizer.yml', + './include/rtdetrv2_r50vd.yml', + '../runtime.yml', +] + + +output_dir: ./output/rtdetrv2_r18vd_50e_gr_pilot_tmp + + +PResNet: + depth: 18 + freeze_at: -1 + freeze_norm: False + pretrained: True + + +HybridEncoder: + in_channels: [128, 256, 512] + hidden_dim: 256 + expansion: 0.5 + + +RTDETRTransformerv2: + num_layers: 3 + + +epoches: 50 + +optimizer: + type: AdamW + params: + - + params: '^(?=.*(?:norm|bn)).*$' + weight_decay: 0. + +eval_spatial_size: [1280, 1280] + +train_dataloader: + dataset: + transforms: + ops: + - {type: RandomPhotometricDistort, p: 0.5} + - {type: RandomZoomOut, fill: 0} + - {type: RandomIoUCrop, p: 0.8} + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: RandomHorizontalFlip} + - {type: Resize, size: [1280, 1280], } + - {type: SanitizeBoundingBoxes, min_size: 1} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + - {type: ConvertBoxes, fmt: 'cxcywh', normalize: True} + policy: + epoch: 45 + collate_fn: + scales: ~ + + total_batch_size: 6 + +val_dataloader: + dataset: + transforms: + ops: + - {type: Resize, size: [1280, 1280]} + - {type: ConvertPILImage, dtype: 'float32', scale: True} + total_batch_size: 12 \ No newline at end of file diff --git a/rtdetrv2_pytorch/src/data/transforms/_transforms.py b/rtdetrv2_pytorch/src/data/transforms/_transforms.py index 53840c30..787d64f7 100644 --- a/rtdetrv2_pytorch/src/data/transforms/_transforms.py +++ b/rtdetrv2_pytorch/src/data/transforms/_transforms.py @@ -13,6 +13,10 @@ import PIL import PIL.Image +# Suppress DecompressionBombWarning +# caused by RandomZoomOut augmentation on 4K images +PIL.Image.MAX_IMAGE_PIXELS = None + from typing import Any, Dict, List, Optional from .._misc import convert_to_tv_tensor, _boxes_keys From 792a02628a987467af90fa96c8cb3aa1bac20a39 Mon Sep 17 00:00:00 2001 From: Darren Tsai Date: Mon, 30 Dec 2024 10:21:35 +1100 Subject: [PATCH 4/5] feat: add inference scripts for torch and onnx --- .../references/deploy/rtdetrv2_onnxruntime.py | 13 +- .../test_images/1729581571653708530.jpg | Bin 0 -> 289105 bytes .../test_images/53173655170_ecd2e5796a_o.jpg | Bin 0 -> 4233897 bytes rtdetrv2_pytorch/test_images/frame_0017-6.png | Bin 0 -> 835177 bytes .../test_images/raymarine_1080x1920.jpg | Bin 0 -> 156796 bytes .../test_images/whale_oi_frame_000887.jpg | Bin 0 -> 1708273 bytes rtdetrv2_pytorch/tools/export_onnx.py | 10 +- rtdetrv2_pytorch/tools/predict_onnx.py | 108 ++++++++++ rtdetrv2_pytorch/tools/predict_torch.py | 188 ++++++++++++++++++ 9 files changed, 310 insertions(+), 9 deletions(-) create mode 100755 rtdetrv2_pytorch/test_images/1729581571653708530.jpg create mode 100755 rtdetrv2_pytorch/test_images/53173655170_ecd2e5796a_o.jpg create mode 100755 rtdetrv2_pytorch/test_images/frame_0017-6.png create mode 100644 rtdetrv2_pytorch/test_images/raymarine_1080x1920.jpg create mode 100644 rtdetrv2_pytorch/test_images/whale_oi_frame_000887.jpg create mode 100644 rtdetrv2_pytorch/tools/predict_onnx.py create mode 100644 rtdetrv2_pytorch/tools/predict_torch.py diff --git a/rtdetrv2_pytorch/references/deploy/rtdetrv2_onnxruntime.py b/rtdetrv2_pytorch/references/deploy/rtdetrv2_onnxruntime.py index 0f94dd29..fe5e16b1 100644 --- a/rtdetrv2_pytorch/references/deploy/rtdetrv2_onnxruntime.py +++ b/rtdetrv2_pytorch/references/deploy/rtdetrv2_onnxruntime.py @@ -9,7 +9,7 @@ from PIL import Image, ImageDraw -def draw(images, labels, boxes, scores, thrh = 0.6): +def draw(images, labels, boxes, scores, thrh = 0.7): for i, im in enumerate(images): draw = ImageDraw.Draw(im) @@ -17,9 +17,14 @@ def draw(images, labels, boxes, scores, thrh = 0.6): lab = labels[i][scr > thrh] box = boxes[i][scr > thrh] - for b in box: + for b,l,s in zip(box, lab, scr): draw.rectangle(list(b), outline='red',) - draw.text((b[0], b[1]), text=str(lab[i].item()), fill='blue', ) + draw.text((b[0], b[1]), text=str(np.round(l,2)), fill='blue', ) + draw.text((b[2], b[3]), text=str(np.round(s,2)), fill='black', ) + + # for b, l in zip(box,scr): + # draw.rectangle(list(b), outline='red',) + # draw.text((b[0], b[1]), text=f"{l.item():0.2f}", fill='blue', ) im.save(f'results_{i}.jpg') @@ -35,7 +40,7 @@ def main(args, ): orig_size = torch.tensor([w, h])[None] transforms = T.Compose([ - T.Resize((640, 640)), + T.Resize((1280, 1280)), T.ToTensor(), ]) im_data = transforms(im_pil)[None] diff --git a/rtdetrv2_pytorch/test_images/1729581571653708530.jpg b/rtdetrv2_pytorch/test_images/1729581571653708530.jpg new file mode 100755 index 0000000000000000000000000000000000000000..85ea0816fae075b0bb75fe028b056d7458c2c2e1 GIT binary patch literal 289105 zcmbTdc{p2J_%D&eK?X6lM@$ z=1zxJ%uy0lQKvW-|OG`e_sO> zP|mK-01*)YKt%Wf{JRKn1OP=v|J#I3Ot^_liHnPgiAzgLN=V5{%gV|~%gD&dA5xH$ zSCp5LQ8=uis00Fo!LkRBKn{Z-hd^M^e}5tZ6rLj{en4FO07yBHXd8G#qGG`RMlI}p zO?Vt2rYL?$)5Kmv33EYGiv%*wpw>!hJG2jgvD2S)%!1=H4@e(A0#R1c)jOsSGk}|0 zoU%k%Ii7WLc0szLaCmQmkFTG9NN8C2#Ry_#LgMA5@#U-@TvfJeq 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