Initial commit: FlexICM codebase, configs, and documentation.

.gitignore

@@ -0,0 +1,26 @@
+__pycache__/
+*.py[cod]
+*.egg-info/
+.eggs/
+dist/
+build/
+.DS_Store
+logs/
+*.log
+coco_log/
+.ipynb_checkpoints/
+_figs/
+_paper_extract.txt
+
+# paper PDF — do not upload
+FlexICM.pdf
+*.pdf
+
+# real weights (keep PLACEHOLDER text files and README)
+checkpoints/**/*.pth.tar
+checkpoints/**/*.tar
+checkpoints/**/*.pkl
+checkpoints/**/*.pth
+!checkpoints/**/PLACEHOLDER*
+!checkpoints/**/*.txt
+!checkpoints/README.md

README.md

@@ -0,0 +1,316 @@
+# FlexICM: A Flexible Image Coding for Machines Framework
+
+Official codebase for the paper **FlexICM: A Flexible Image Coding for Machines Framework** (Tianma Shen, Ying Liu).
+
+Built on the **TIC (Transformer-based Image Compression)** base codec, this repository implements:
+
+- **TAIC (Base Layer)**: five single-task codecs that decode task intermediate features `h` **without** full image reconstruction
+- **C-TAIC (Extension Layer)**: three multi-task scenarios that condition on the base-layer latent \(\hat{y}_b\) via cross-attention
+
+## Five Tasks and Three Scenarios
+
+### TAIC (five task codecs)
+
+| Task | Teacher / Task Network | Feature Alignment | Metric |
+|------|------------------------|-------------------|--------|
+| Object Detection | Faster R-CNN + **Swin-B** | FPN `P2..P6` (Eq. 2) | mAP-bbox |
+| Semantic Segmentation | UPerNet + **Swin-B** | FPN `P2..P6` | mIoU |
+| Instance Segmentation | Mask R-CNN + **Swin-B** | FPN `P2..P6` | mAP-mask |
+| Panoptic Segmentation | MaskFormer + **Swin-B** | Stages `F1..F4` (Eq. 3) | PQ |
+| Pose Estimation | **HigherHRNet** | Stages `F1..F4` | mAP-OKS |
+
+### C-TAIC (three scenarios)
+
+| Scenario | Base Layer | Extension Layer |
+|----------|------------|-----------------|
+| **s1** | Object Detection | Instance Segmentation |
+| **s2** | Semantic Segmentation | Panoptic Segmentation |
+| **s3** | Object Detection | Pose Estimation |
+
+---
+
+## Environment Setup
+
+> **Important:** Codec training **requires** task networks (teachers) to be available.
+> The loss \(D\) is computed from frozen teacher features, so you cannot train TAIC / C-TAIC
+> with only the codec packages. Install the teacher stack in **Task networks (teachers)** before the first training run.
+
+### Recommended environment
+
+- Ubuntu / RHEL, **CUDA 11.7+**, single **NVIDIA A100** (paper setting)
+- Python **3.8–3.10**
+- PyTorch **≥ 1.12** (2.0+ recommended)
+
+```bash
+conda create -n flexicm python=3.9 -y
+conda activate flexicm
+pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118
+pip install -r requirements.txt
+```
+
+### Core codec dependencies
+
+| Package | Role |
+|---------|------|
+| `compressai` | EntropyBottleneck / GaussianConditional / conv-deconv |
+| `timm` | **Required** Swin-B teacher backbone for feature alignment |
+| `PyYAML` | Training configs |
+
+### Task networks (teachers) — **required before training**
+
+Teachers are already implemented in `flexicm/tasks/` and are constructed automatically by
+`scripts/train_taic.py` / `scripts/train_ctaic.py` via `build_teacher(...)`.
+You still must install their runtime dependencies and allow pretrained weights to download.
+
+| Task | Teacher used in training | What you need installed |
+|------|--------------------------|-------------------------|
+| Detection / Instance / Semantic / Panoptic | Swin-B backbone (+ FPN or stages) via `timm` | `timm` (from `requirements.txt`); first run downloads ImageNet-pretrained Swin-B |
+| Pose | HigherHRNet-style HRNet stem (original HRNet, not Swin) | Implemented in-repo; no extra package beyond PyTorch |
+
+Checklist before training:
+
+1. `pip install -r requirements.txt` (includes `timm`)
+2. Machine can reach the internet **or** you have cached `timm` Swin-B weights (for the four Swin tasks)
+3. Verify teachers import cleanly:
+
+```bash
+python -c "from flexicm.tasks import build_teacher; build_teacher('detection'); print('teachers ok')"
+```
+
+Without a working teacher, training will fail when computing the feature-alignment term \(D\).
+
+### Task heads for metric evaluation
+
+To evaluate paper metrics (mAP / mIoU / PQ / OKS) with full task heads, also install:
+
+```bash
+pip install -U openmim
+mim install mmengine mmcv
+mim install mmdet mmsegmentation mmpose
+# or Detectron2 (alternative for detection / instance evaluation)
+```
+
+Recommended official weights (same model families as the paper):
+
+- **Faster / Mask R-CNN + Swin-B**: MMDetection Model Zoo
+- **UPerNet + Swin-B**: MMSegmentation Model Zoo
+- **MaskFormer + Swin-B**: MMDetection / Mask2Former
+- **HigherHRNet**: MMPose Model Zoo (**HRNet backbone**)
+
+These full heads are **not** required to start codec training; they are for final rate–accuracy evaluation.
+
+---
+
+## Repository Layout
+
+```
+FlexICM/
+├── FlexICM.pdf                 # paper
+├── requirements.txt
+├── README.md
+├── configs/
+│   ├── taic/                   # five single-task configs
+│   │   ├── detection.yaml
+│   │   ├── semantic.yaml
+│   │   ├── instance.yaml
+│   │   ├── panoptic.yaml
+│   │   └── pose.yaml
+│   └── ctaic/                  # three multi-task scenarios
+│       ├── s1_det_instance.yaml
+│       ├── s2_sem_panoptic.yaml
+│       └── s3_det_pose.yaml
+├── scripts/
+│   ├── download_base_codecs.sh
+│   ├── train_taic.py
+│   └── train_ctaic.py
+├── flexicm/
+│   ├── models/                 # TAIC / C-TAIC / SFMA / TaskConnector / Conditional
+│   ├── layers/                 # RSTB / WindowAttention (same lineage as AdaptiveICMH)
+│   ├── tasks/                  # teachers + feature-alignment losses
+│   ├── data/                   # COCO / COCO-WholeBody image loading
+│   └── utils/
+└── checkpoints/                # placeholder tree for base / TAIC / C-TAIC weights
+                                # see checkpoints/README.md
+```
+
+Eval configs (stub until full metrics are implemented): `configs/eval/`.
+Eval entry points: `scripts/eval_taic.py`, `scripts/eval_ctaic.py` (currently only check that real checkpoints replaced `PLACEHOLDER` files).
+
+---
+
+## Dataset Preparation
+
+### COCO-2017 (detection / instance / semantic / panoptic)
+
+```text
+/data/coco2017/
+├── train2017/
+├── val2017/
+└── annotations/
+    ├── instances_train2017.json
+    ├── instances_val2017.json
+    ├── panoptic_train2017.json
+    ├── panoptic_val2017.json
+    ├── panoptic_train2017/          # PNG
+    ├── panoptic_val2017/
+    ├── stuff_train2017.json         # semantic / stuff (if used)
+    └── stuff_val2017.json
+```
+
+Download:
+
+```bash
+# images
+wget http://images.cocodataset.org/zips/train2017.zip
+wget http://images.cocodataset.org/zips/val2017.zip
+# annotations
+wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
+wget http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip
+```
+
+Set in the corresponding YAML:
+
+```yaml
+dataset_path: "/data/coco2017"
+```
+
+### COCO-WholeBody (pose estimation)
+
+Pose uses the same COCO `train2017/val2017` images plus WholeBody keypoint annotations:
+
+- Project page: [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody)
+- Place JSON files under `annotations/`; evaluate with MMPose HigherHRNet + WholeBody configs
+
+Codec **training** only needs images for feature alignment, so `train2017` images are sufficient for that stage.
+
+### Data processing (aligned with task networks)
+
+The paper requires **codec training preprocessing to match task-network preprocessing**. Defaults in this repo:
+
+1. **Codec input**: RGB, `ToTensor()` → `[0,1]`; training uses `Resize → RandomCrop(256) → RandomHorizontalFlip`
+2. **Inside the teacher**: ImageNet mean/std normalization (consistent with Swin / HRNet pretraining)
+3. **Spatial alignment**: TIC requires spatial size divisible by **256** (256 crop for training; pad at inference)
+
+If you use official MMDet/MMSeg pipelines (short-side resize, normalization, etc.), ensure:
+
+- Teacher feature extraction uses the **same normalize / resize logic** as that task network
+- Codec and teacher see geometrically consistent tensors (same crop / same pad)
+
+Edit points: `flexicm/data/datasets.py`, `flexicm/tasks/swin_teacher.py`, `flexicm/tasks/__init__.py` (HigherHRNet).
+
+---
+
+## Base Codec (TIC) Checkpoints
+
+The paper uses the same TIC pretrained weights as AdaptiveICMH / TransTIC:
+
+| Quality | λ (paper) | Checkpoint |
+|:-------:|:---------:|------------|
+| 1 | 0.0035 | [base_codec_1](https://github.com/NYCU-MAPL/TransTIC/releases/download/v1.0/base_codec_1.pth.tar) |
+| 2 | 0.0067 | [base_codec_2](https://github.com/NYCU-MAPL/TransTIC/releases/download/v1.0/base_codec_2.pth.tar) |
+| 3 | 0.0130 | [base_codec_3](https://github.com/NYCU-MAPL/TransTIC/releases/download/v1.0/base_codec_3.pth.tar) |
+| 4 | 0.0250 | [base_codec_4](https://github.com/NYCU-MAPL/TransTIC/releases/download/v1.0/base_codec_4.pth.tar) |
+
+```bash
+bash scripts/download_base_codecs.sh
+# downloads into checkpoints/base_codec/base_codec_{1,2,3,4}.pth.tar
+```
+
+Config example:
+
+```yaml
+base_codec: "./checkpoints/base_codec/base_codec_1.pth.tar"
+quality_level: 1
+lmbda: 0.0035
+```
+
+For each bitrate point, switch the matching `base_codec_k` and `lmbda`.
+
+Trained TAIC / C-TAIC weights for eval should be placed under `checkpoints/taic/` and
+`checkpoints/ctaic/` (see `checkpoints/README.md`). Until then, each quality folder
+contains a `PLACEHOLDER` file.
+
+
+---
+
+## Training
+
+Paper settings:
+
+- Optimizer: **AdamW**, `lr=1e-4`
+- TAIC: `batch_size=80`, `epochs=35`
+- C-TAIC: `batch_size=40`, `epochs=40`
+- `λ ∈ {0.0035, 0.0067, 0.0130, 0.0250}`
+
+> If GPU memory is insufficient, reduce `batch_size` (optionally use gradient accumulation to approximate the paper effective batch).
+
+### Train five TAIC models
+
+```bash
+# edit dataset_path / base_codec / lmbda / gpu_id in configs/taic/*.yaml as needed
+python scripts/train_taic.py -c configs/taic/detection.yaml
+python scripts/train_taic.py -c configs/taic/semantic.yaml
+python scripts/train_taic.py -c configs/taic/instance.yaml
+python scripts/train_taic.py -c configs/taic/panoptic.yaml
+python scripts/train_taic.py -c configs/taic/pose.yaml
+```
+
+Trainable modules: **encoder SFMA + Task Connector**; TIC trunk is frozen.
+
+### Train three C-TAIC scenarios
+
+Requires a trained **base TAIC** checkpoint (to provide \(\hat{y}_b\)) and Stage-1 weights for the extension task.
+
+```bash
+# ---- s1: det → instance ----
+python scripts/train_ctaic.py -c configs/ctaic/s1_det_instance.yaml --stage 1
+python scripts/train_ctaic.py -c configs/ctaic/s1_det_instance.yaml --stage 2
+
+# ---- s2: semantic → panoptic ----
+python scripts/train_ctaic.py -c configs/ctaic/s2_sem_panoptic.yaml --stage 1
+python scripts/train_ctaic.py -c configs/ctaic/s2_sem_panoptic.yaml --stage 2
+
+# ---- s3: det → pose ----
+python scripts/train_ctaic.py -c configs/ctaic/s3_det_pose.yaml --stage 1
+python scripts/train_ctaic.py -c configs/ctaic/s3_det_pose.yaml --stage 2
+```
+
+Stage meanings:
+
+| Stage | Mode | Trainable modules | `ŷ_b` |
+|:-----:|------|-------------------|-------|
+| 1 | TAIC mode | SFMA + Task Connector | not used |
+| 2 | C-TAIC mode | Prompt Generator + Condition Generator | from frozen base TAIC AD output |
+
+Check these config fields:
+
+```yaml
+base_taic_checkpoint:  # trained TAIC for the base task
+taic_init:             # extension-task TAIC (optional Stage-1 init)
+stage1_checkpoint:     # Stage-1 result loaded in Stage 2
+```
+
+---
+
+## Code Map to the Paper
+
+| Paper component | Code location |
+|-----------------|---------------|
+| SFMA | `flexicm/models/sfma.py` |
+| Task Connector | `flexicm/models/task_connector.py` |
+| TAIC | `flexicm/models/taic.py` |
+| C-TAIC + two-stage freeze | `flexicm/models/ctaic.py` |
+| Prompt / Mask / Cd | `flexicm/models/conditional.py` |
+| Cross-attention (Q from features; K/V include prompts) | `flexicm/models/cross_attention.py` |
+| \(R+\lambda D\) | `flexicm/tasks/losses.py` |
+| Five teachers | `flexicm/tasks/__init__.py` |
+
+
+---
+
+## Citation
+
+If you use this code or the paper, please cite FlexICM and acknowledge the base works:
+
+- TIC: Lu et al., Transformer-based Image Compression
+- TransTIC / AdaptiveICMH: task-adaptive SFMA tuning

checkpoints/README.md

@@ -0,0 +1,64 @@
+# Checkpoints Layout (Placeholders)
+
+Put pretrained / trained weights here before running **test / eval**.
+Training still writes to `logs/` by default; after training, copy (or symlink) best
+checkpoints into this tree so eval configs have a stable path.
+
+> Files named `PLACEHOLDER` are not real weights. Replace each with the matching
+> `.pth.tar` checkpoint, then update or keep the path expected by eval scripts.
+
+## Directory map
+
+```text
+checkpoints/
+├── base_codec/                 # frozen TIC (TransTIC / AdaptiveICMH)
+│   ├── base_codec_1.pth.tar    # λ = 0.0035
+│   ├── base_codec_2.pth.tar    # λ = 0.0067
+│   ├── base_codec_3.pth.tar    # λ = 0.0130
+│   └── base_codec_4.pth.tar    # λ = 0.0250
+│
+├── taic/                       # five single-task TAIC codecs
+│   ├── detection/{1,2,3,4}/checkpoint_best_loss.pth.tar
+│   ├── semantic/{1,2,3,4}/checkpoint_best_loss.pth.tar
+│   ├── instance/{1,2,3,4}/checkpoint_best_loss.pth.tar
+│   ├── panoptic/{1,2,3,4}/checkpoint_best_loss.pth.tar
+│   └── pose/{1,2,3,4}/checkpoint_best_loss.pth.tar
+│
+└── ctaic/                      # three multi-task scenarios
+    ├── s1_det_instance/
+    │   ├── stage1/{1,2,3,4}/checkpoint_best_loss.pth.tar
+    │   └── stage2/{1,2,3,4}/checkpoint_best_loss.pth.tar
+    ├── s2_sem_panoptic/
+    │   ├── stage1/{1,2,3,4}/checkpoint_best_loss.pth.tar
+    │   └── stage2/{1,2,3,4}/checkpoint_best_loss.pth.tar
+    └── s3_det_pose/
+        ├── stage1/{1,2,3,4}/checkpoint_best_loss.pth.tar
+        └── stage2/{1,2,3,4}/checkpoint_best_loss.pth.tar
+```
+
+Quality folders `{1,2,3,4}` match paper λ / TIC quality levels.
+
+## Download base TIC codecs
+
+```bash
+bash scripts/download_base_codecs.sh
+# downloads into checkpoints/base_codec/
+```
+
+## After training: copy into placeholders
+
+```bash
+# example: TAIC detection, quality 1
+cp logs/taic_detection/1/checkpoint_best_loss.pth.tar \
+   checkpoints/taic/detection/1/checkpoint_best_loss.pth.tar
+
+# example: C-TAIC s1 stage2, quality 1
+cp logs/ctaic_s1_stage2/1/checkpoint_best_loss.pth.tar \
+   checkpoints/ctaic/s1_det_instance/stage2/1/checkpoint_best_loss.pth.tar
+```
+
+## Eval configs
+
+See `configs/eval/` — they point to these placeholder paths.
+Eval scripts will refuse to run if a `PLACEHOLDER` file is still present
+or if the `.pth.tar` is missing.

checkpoints/base_codec/NOTE.txt

@@ -0,0 +1,2 @@
+Legacy config paths used ./checkpoints/base_codec_k.pth.tar.
+Prefer checkpoints/base_codec/base_codec_k.pth.tar after download.

checkpoints/base_codec/PLACEHOLDER_base_codec_1.pth.tar.txt

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/base_codec/PLACEHOLDER_base_codec_2.pth.tar.txt

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/base_codec/PLACEHOLDER_base_codec_3.pth.tar.txt

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/base_codec/PLACEHOLDER_base_codec_4.pth.tar.txt

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage1/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage1/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage1/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage1/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage2/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage2/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage2/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s1_det_instance/stage2/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage1/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage1/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage1/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage1/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage2/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage2/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage2/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s2_sem_panoptic/stage2/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage1/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage1/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage1/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage1/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage2/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage2/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage2/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/ctaic/s3_det_pose/stage2/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/detection/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/detection/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/detection/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/detection/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/instance/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/instance/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/instance/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/instance/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/panoptic/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/panoptic/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/panoptic/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/panoptic/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/pose/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/pose/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/pose/3/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/pose/4/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/semantic/1/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.

checkpoints/taic/semantic/2/PLACEHOLDER

@@ -0,0 +1,2 @@
+PLACEHOLDER: replace this file with the real checkpoint (.pth.tar).
+See checkpoints/README.md for the expected filename and training copy commands.