Instructions to use ConservationDrones/DroneMegaDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConservationDrones/DroneMegaDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ConservationDrones/DroneMegaDetector")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ConservationDrones/DroneMegaDetector") model = AutoModelForObjectDetection.from_pretrained("ConservationDrones/DroneMegaDetector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download conversion_checks.json from ConservationDrones/DroneMegaDetector: direct link, hf CLI and curl.
- Browser
- Download file 3.4 kB
-
https://huggingface.co/ConservationDrones/DroneMegaDetector/resolve/main/conversion_checks.json
- Command line
-
hf download hf://ConservationDrones/DroneMegaDetector/conversion_checks.json
-
curl -L -o conversion_checks.json https://huggingface.co/ConservationDrones/DroneMegaDetector/resolve/main/conversion_checks.json
3.4 kB
| { | |
| "source": "/Users/josh/code/boem-genai/DroneMegaDetector_RFDETRMedium.pth", | |
| "source_sha256": "d729d9cd7ac3bc5c2f4442172035066496a10c8c748d25786d515ce1c16a2856", | |
| "checkpoint_rfdetr_version": "1.6.0", | |
| "reference_rfdetr_version": "1.6.0", | |
| "transformers_version": "5.18.0", | |
| "missing_keys": [], | |
| "unexpected_keys": [], | |
| "mismatched_keys": [], | |
| "position_grid": 80, | |
| "processor_resolution": 1280, | |
| "labels": { | |
| "0": "person", | |
| "1": "animal", | |
| "2": "vehicle", | |
| "3": "unused_legacy_slot" | |
| }, | |
| "checks": { | |
| "224px_float32_backbone": { | |
| "shape": [ | |
| 2, | |
| 384, | |
| 14, | |
| 14 | |
| ], | |
| "max_absolute_error": 3.4332275390625e-05, | |
| "mean_absolute_error": 3.6743040254805237e-06, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "320px_logits": { | |
| "shape": [ | |
| 2, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 3.8130639561373414e-06, | |
| "mean_absolute_error": 4.880644085079414e-07, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "320px_boxes": { | |
| "shape": [ | |
| 2, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 5.856459688174942e-07, | |
| "mean_absolute_error": 1.6388501435938554e-08, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "320px_backbone": { | |
| "shape": [ | |
| 2, | |
| 384, | |
| 20, | |
| 20 | |
| ], | |
| "max_absolute_error": 9.769962616701378e-14, | |
| "mean_absolute_error": 7.394314978870708e-15, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "576px_logits": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 3.4019432293419527e-06, | |
| "mean_absolute_error": 4.856440021735094e-07, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "576px_boxes": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 3.4133945525649523e-07, | |
| "mean_absolute_error": 1.4561927350870893e-08, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "576px_backbone": { | |
| "shape": [ | |
| 1, | |
| 384, | |
| 36, | |
| 36 | |
| ], | |
| "max_absolute_error": 9.514611321037592e-14, | |
| "mean_absolute_error": 7.84452137747884e-15, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "reload_logits": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 0.0, | |
| "mean_absolute_error": 0.0, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "reload_boxes": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 0.0, | |
| "mean_absolute_error": 0.0, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "processor_reload": { | |
| "shape": [ | |
| 1, | |
| 3, | |
| 1280, | |
| 1280 | |
| ], | |
| "max_absolute_error": 0.0, | |
| "mean_absolute_error": 0.0, | |
| "atol": 0, | |
| "rtol": 0 | |
| }, | |
| "native_logits": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 1.9140028244102325e-05, | |
| "mean_absolute_error": 7.988022616367551e-07, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| }, | |
| "native_boxes": { | |
| "shape": [ | |
| 1, | |
| 300, | |
| 4 | |
| ], | |
| "max_absolute_error": 2.770148079811463e-06, | |
| "mean_absolute_error": 4.032394474988902e-08, | |
| "atol": 0.0002, | |
| "rtol": 0.0002 | |
| } | |
| }, | |
| "detector_reference_precision": "float64 (reduces top-k near-tie sensitivity)" | |
| } | |