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---
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
pipeline_tag: depth-estimation
tags:
- AIoT
- QNN
---
## Midas-v2: Depth Estimation
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.
### Source model
- Input shape: 1x3x256x256
- Number of parameters: 20.33M
- Model size: 82.17M
- Output shape: 1x1x256x256
The source model can be found [here](https://github.com/isl-org/MiDaS)
## Performance Reference
Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
## Inference & Model Conversion
Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
## License
- Source Model: [MIT](https://github.com/isl-org/MiDaS/blob/master/LICENSE)
- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |