PP-YOLOE
PP-YOLOE is an anchor-free object detector with detection training and class-head resizing.
- Task
- detection
- Ukuran
- s, m, l, x at 640 px
- Instalasi
pip install libreyolo- Tier dukungan
- Didukung, sejak v1.6.0. Model pendukung yang dapat dilatih: CI dijaga tetap lulus, fitur ditambahkan saat ada kesempatan.
- Lisensi
- Kode MIT, bobot No separate artifact grant recorded. Penggunaan komersial
Install
pip install "libreyolo"Predict
from libreyolo import LibreYOLO, SAMPLE_IMAGE model = LibreYOLO("LibrePPYOLOEs.pt", device="cpu")result = model(SAMPLE_IMAGE)print(result.boxes)Released weights download from the source CDN with a pinned SHA-256 check. The constructor also accepts a local upstream checkpoint. The four sizes are s, m, l and x.
Train
Training uses ATSS assignment before switching to task-aligned assignment. static_assigner_epochs defaults to 30% of the requested epochs. A new class count rebuilds the class-prediction layers. AMP defaults to False.
Dataset setup describes the required training data.
from libreyolo import LibreYOLO model = LibreYOLO("LibrePPYOLOEs.pt", device="cpu")# coco8 is a small YOLO-format detection dataset that downloads automatically.model.train(data="coco8.yaml", epochs=1, device="cpu", workers=0)Validate
from libreyolo import LibreYOLO model = LibreYOLO("LibrePPYOLOEs.pt", device="cpu")metrics = model.val(data="coco8.yaml", workers=0)print(metrics)Use the dataset format for this task. Validation explains the dataset requirements and returned metrics.
Export
| Task | ONNX | TorchScript | ExecuTorch | TensorRT | OpenVINO | Paddle | MNN | RKNN | ncnn | TFLite | CoreML | Core AI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Detection | Detection to ONNX: didukung | Detection to TorchScript: didukung | Detection to ExecuTorch: didukung | Detection to TensorRT: didukung | Detection to OpenVINO: didukung | Detection to Paddle: tidak didukung | Detection to MNN: tidak didukung | Detection to RKNN: tidak didukung | Detection to ncnn: didukung | Detection to TFLite: tidak didukung | Detection to CoreML: tidak didukung | Detection to Core AI: tidak didukung |
from libreyolo import LibreYOLO model = LibreYOLO("LibrePPYOLOEs.pt", device="cpu")model.export(format="onnx")Export setup lists format dependencies and loading exported artifacts.
Licensing
Periksa lisensi di repositori Hugging Face untuk bobot tertentu yang diunduh. Setiap checkpoint di organisasi LibreYOLO memiliki lisensi, dan lisensinya tidak selalu sama dalam satu family. Repositori tersebut adalah sumber resmi. Ringkasan di bawah menjelaskan ketentuan yang berlaku saat halaman ini terakhir diverifikasi.
Ini adalah deskripsi lisensi yang terlibat, bukan nasihat hukum. Jika jawabannya penting secara komersial, baca sendiri lisensinya dan mintalah nasihat dari penasihat hukum Anda.
- Karya asli
- PP-YOLOE, PaddlePaddle
- Lisensi upstream
- Apache-2.0
- Sumber upstream
- github.com/PaddlePaddle/PaddleDetection
- Kode LibreYOLO
- MIT
- Bobot
- No separate artifact grant recorded, didistribusikan oleh penulisnya. LibreYOLO tidak menghosting atau mencerminkannya.
- Interpretasi
- The upstream source is Apache-2.0. Pretrained artifacts download from the source CDN; a separate checkpoint license grant has not been recorded.
