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Edgematrix-JP/AIPV1EMI0001
AIPV1EMI0001 is a object detection model from Edgematrix-JP. Use it when you need objects located in an image. It is set up for tensorrt. The card lists the license as apache-2.0.
Model weights and build artifacts for the AIPV1EMI0001 AI Processor (YOLOv7-tiny parking-lot detector: car, person, truck — 3 classes, 640×640 input).
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.onnx24.2 MB · 61%
From the Hugging Face model README
Model weights and build artifacts for the AIPV1EMI0001 AI Processor
(YOLOv7-tiny parking-lot detector: car, person, truck — 3 classes, 640×640 input).

Source code, build scripts and the step-by-step guide live in the GitHub repo: edge-ai/AIPV1EMI0001
| File | Description |
|---|---|
yolov7tiny-parking-rev3-640.onnx | Primary artifact. ONNX export with EfficientNMS_TRT node — input for the TensorRT engine build (bin/build.sh). Downloaded automatically by the notebook. |
yolov7-fp16-1x8x8-jp6-l4t36.3-arm64.engine | Prebuilt TensorRT FP16 engine — JetPack 6 / L4T R36.3 / aarch64 only. Optional shortcut; rebuild from ONNX on any other platform. |
SHA256SUMS | Checksums for integrity verification after download |
The localdev.ipynb notebook in the GitHub repo downloads the ONNX
automatically and verifies it against SHA256SUMS before building the
TensorRT engine.
The model architecture is YOLOv7 by WongKinYiu et al.:
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao. "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors." CVPR 2023. https://github.com/WongKinYiu/yolov7 — MIT License.
The weights published here were custom-trained and reparameterized by EdgeMatrix (parking-lot dataset, 3 classes) on top of the YOLOv7-tiny architecture, and are released under Apache-2.0. The upstream YOLOv7 code remains under its MIT license.