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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: depth-estimation |
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tags: |
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- AIoT |
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- QNN |
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--- |
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## Midas-v2: Depth Estimation |
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Midas is a deep learning-based monocular depth estimation model that accurately predicts scene depth from a single RGB image without relying on stereo vision or depth sensors. By integrating a hybrid CNN-Transformer architecture and pretraining on diverse datasets (e.g., MegaDepth, KITTI), it achieves strong cross-scene generalization, adapting to complex lighting, occlusions, and varied environments (indoor/outdoor). The model supports dynamic resolution inputs (down to 256x256 pixels) while preserving detail perception, with optimized computational efficiency for real-time performance and lightweight deployment on mobile/edge devices. It is widely used in autonomous driving (obstacle detection), AR/VR (3D reconstruction), and robotic navigation, significantly reducing hardware costs. Ongoing updates (e.g., Midas-v3) enhance small-object recognition and edge accuracy. |
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### Source model |
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- Input shape: 1x3x256x256 |
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- Number of parameters: 20.33M |
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- Model size: 82.17M |
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- Output shape: 1x1x256x256 |
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The source model can be found [here](https://github.com/isl-org/MiDaS) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [MIT](https://github.com/isl-org/MiDaS/blob/master/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
