Ccgdetector Fastweb Single
ONNX corner detector for CollectorVision-style card scanning. This release is fastweb-single 1.39 (corndog), an EfficientViT-B0 global-token SimCC model exported for 384x384 RGB input.
Model source
- Kind
- Other
- File size
- 3.04–3.05 MB
- Version
- vFastweb single 0.1.0
- Updated
- Oct 10, 2026
- Source
- Hugging Face
Source description
ccgdetector-fastweb-single
ONNX corner detector for CollectorVision-style card scanning. This release is fastweb-single 1.39 (corndog), an EfficientViT-B0 global-token SimCC model exported for 384x384 RGB input.
Model details
| Property | Value |
|---|---|
| Architecture | EfficientViT-B0 + global-token SimCC head |
| Input | 384×384 RGB, ImageNet-normalized |
| Outputs | corners (8 floats, normalized [0,1]), compatibility presence logit, sharpness scalar |
| Parameters | ~0.77M |
| File size | 3.19 MB (fp32 ONNX, stripped) |
| Local CPU speed | 8.4 ms / frame, 119.4 FPS (ONNX Runtime CPU, single thread, 384×384) |
| Codename | corndog |
| Latest version | 1.39 |
Artifact
| File | Notes |
|---|---|
fastweb-single-1.39.onnx | Versioned stable-available artifact. |
model.onnx | Alias for the same file. |
Status
This release is available through the CollectorVision stable channel for the
fastweb-single family. Cornelius remains the conservative stable default
detector family, while fastweb-single is the smaller/faster stable-available
alternative for consumers that explicitly select it.
Metrics
Normal eval, selected checkpoint epoch 39:
| metric | value |
|---|---|
| validation IoU | 0.953966 |
| test IoU | 0.968839 |
| validation collapse count | 77 |
| test collapse count | 13 |
Full ±50 rotation stress:
| metric | value |
|---|---|
| mean IoU | 0.974255 |
| p10 IoU | 0.960757 |
bad <0.5 | 1 |
| collapse count | 0 |
Comparison with Cornelius
Cornelius 2.12 is the stable conservative default. fastweb-single is a smaller
and faster stable-available alternative with the same 384×384 input contract and the same
three output tensors: corners, compatibility presence, and sharpness.
| Model | Channel | Normal test IoU | Normal collapse | Full ±50° mean / p10 IoU | Full-rotation bad / collapse | ONNX size | Params | Local CPU speed |
|---|---|---|---|---|---|---|---|---|
| Cornelius 2.12 | stable | 0.968911 | 18 | 0.970411 / 0.954621 | 0 / 0 | 4.41 MB | 1.05M | 23.2 ms / 43.0 FPS |
| fastweb-single 1.39 | stable + testing | 0.968839 | 13 | 0.974255 / 0.960757 | 1 / 0 | 3.19 MB | 0.77M | 8.4 ms / 119.4 FPS |
Takeaways:
- Normal accuracy is effectively tied: fastweb-single trails Cornelius by 0.000072 IoU on the normal held-out test.
- fastweb-single is about 28% smaller on disk and about 2.8× faster in the local single-thread CPU benchmark.
- fastweb-single has stronger rotation-stress mean and p10 IoU, but still has one remaining bad rotation-stress case where Cornelius has zero.
- The current published ONNX uses argmax SimCC decoding. Local experiments with parabolic peak refinement showed small gains, but that refinement is not baked into this artifact.
Speed benchmark details: ONNX Runtime 1.24.4, CPUExecutionProvider,
intra_op_num_threads=1, inter_op_num_threads=1, 50 warmup runs and 300 timed
runs on a 384×384 float32 input. These numbers are intended for model-to-model
comparison on the same machine, not as universal device benchmarks.
Outputs
- corners — 8 floats
[x0,y0, x1,y1, x2,y2, x3,y3]in TL→TR→BR→BL order, normalized [0,1] - presence — compatibility logit. For this release it is a constant
1.0; prefer the sharpness gate. - sharpness — mean peak of the 8 SimCC softmax distributions; use this for card-present gating.
Sources
1 source
Sources
1 sourceVerified Oct 10
Download files
Model artifacts
3 artifacts
Model artifacts
3 artifactsSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit tags: - computer-vision - onnx - object-detection - card-detection - collectorvision library_name: onnx --- # ccgdetector-fastweb-single ONNX corner detector for CollectorVision-style card scanning. This release is **fastweb-single 1.39** (`corndog`), an EfficientViT-B0 global-token SimCC model exported for 384x384 RGB input. ## Model details | Property | Value | |---|---| | Architecture | EfficientViT-B0 + global-token SimCC head | | Input | 384×384 RGB, ImageNet-normalized | | Outputs | corners (8 floats, normalized [0,1]), compatibility presence logit, sharpness scalar | | Parameters | ~0.77M | | File size | 3.19 MB (fp32 ONNX, stripped) | | Local CPU speed | 8.4 ms / frame, 119.4 FPS (ONNX Runtime CPU, single thread, 384×384) | | Codename | corndog | | Latest version | 1.39 | ## Artifact | File | Notes | |---|---| | `fastweb-single-1.39.onnx` | Versioned stable-available artifact. | | `model.onnx` | Alias for the same file. | ## Status This release is available through the CollectorVision **stable** channel for the `fastweb-single` family. Cornelius remains the conservative stable default detector family, while fastweb-single is the smaller/faster stable-available alternative for consumers that explicitly select it. ## Metrics Normal eval, selected checkpoint epoch 39: | metric | value | |---|---:| | validation IoU | 0.953966 | | test IoU | 0.968839 | | validation collapse count | 77 | | test collapse count | 13 | Full ±50 rotation stress: | metric | value | |---|---:| | mean IoU | 0.974255 | | p10 IoU | 0.960757 | | bad `<0.5` | 1 | | collapse count | 0 | ## Comparison with Cornelius Cornelius 2.12 is the stable conservative default. `fastweb-single` is a smaller and faster stable-available alternative with the same 384×384 input contract and the same three output tensors: `corners`, compatibility `presence`, and `sharpness`. | Model | Channel | Normal test IoU | Normal collapse | Full ±50° mean / p10 IoU | Full-rotation bad / collapse | ONNX size | Params | Local CPU speed | |---|---|---:|---:|---:|---:|---:|---:|---:| | Cornelius 2.12 | stable | **0.968911** | 18 | 0.970411 / 0.954621 | **0 / 0** | 4.41 MB | 1.05M | 23.2 ms / 43.0 FPS | | fastweb-single 1.39 | stable + testing | 0.968839 | **13** | **0.974255 / 0.960757** | 1 / 0 | **3.19 MB** | **0.77M** | **8.4 ms / 119.4 FPS** | Takeaways: - Normal accuracy is...
Source context: 17 downloads · 0 likes · Pipeline object-detection · Library onnx · Repo HanClinto/ccgdetector-fastweb-single
