shriarul5273 (shriarulmozhivarman)

reacted to their post with 🤗 8 days ago

Post

3037

🚀 Releasing gradio-sync3dcompare v0.0.22 — a Gradio custom component for synchronized 3D model comparison

🔁 One component. Side-by-side. Perfectly in sync.

✨ What's included

🗂️ Supports GLB and PLY files
🔵 Renders as point clouds or native meshes
🎥 Synchronized orbit, zoom, and pan across all viewports
📐 Auto point sizing with manual override
🔍 Configurable zoom range and reset controls

📦 pip install gradio-sync3dcompare

🛠️ Built on Gradio 6.10.0 — drops into any gr.Blocks app with a single import.

🤗 Try the live demo on Hugging Face Spaces: shriarul5273/gradio_sync3d_compare

⭐ GitHub: https://github.com/shriarul5273/Sync3DCompare

🎬 See it in action in the video below.
The video shows a real-world comparison of two 3D point clouds reconstructed from stereo depth estimation — one from FoundationStereo and one from RAFTStereo. Both models are exported as GLB files directly from the depth output and loaded side-by-side into the component. Every orbit, zoom, and pan is perfectly mirrored across both viewports, making it easy to spot structural differences between the two reconstructions at any angle.

💬 Feedback on supported formats, rendering features, or comparison workflows is very welcome!

reacted to their post with 😎 4 months ago

Post

187

Picking the wrong depth estimation model costs more time than most teams realize ⏳

I made a cheat sheet to help you choose between the 28 model variants in the depth_estimation package based on the constraint that actually matters for your use case 📊

Most teams do not need "the best" model ❌
They need the right model for their deployment target, latency budget, and output requirements ✅

Swipe through this before you build another custom preprocessing pipeline 👇

⚡ Fastest inference for edge and CPU deployments: depth-anything-v2-vits
📏 Real metric depth with absolute scale: zoedepth or depth-pro
🎥 Video and real-time streaming with temporal smoothing
🏆 Maximum quality metric predictions: depth-anything-v3-metric-large

That is why I open-sourced a library that unifies 12 model families and 28 variants behind one standardized API 🛠️ so you can compare models without rewriting your stack each time.

Save this if you work on depth estimation regularly 💾
Comment with your use case if you want help choosing a model 💬

I'll drop the GitHub repo in the comments 🔗

#DepthEstimation #MonocularDepthEstimation #DepthPrediction #ComputerVision #3DVision #DeepLearning #MachineLearning #AI #PyTorch #OpenSource #EdgeAI #RealTimeAI #MLOps #Robotics

1 reply

·

replied to their post 4 months ago

https://github.com/shriarul5273/depth_estimation

posted an update 4 months ago

Post

187

Picking the wrong depth estimation model costs more time than most teams realize ⏳

I made a cheat sheet to help you choose between the 28 model variants in the depth_estimation package based on the constraint that actually matters for your use case 📊

Most teams do not need "the best" model ❌
They need the right model for their deployment target, latency budget, and output requirements ✅

Swipe through this before you build another custom preprocessing pipeline 👇

⚡ Fastest inference for edge and CPU deployments: depth-anything-v2-vits
📏 Real metric depth with absolute scale: zoedepth or depth-pro
🎥 Video and real-time streaming with temporal smoothing
🏆 Maximum quality metric predictions: depth-anything-v3-metric-large

That is why I open-sourced a library that unifies 12 model families and 28 variants behind one standardized API 🛠️ so you can compare models without rewriting your stack each time.

Save this if you work on depth estimation regularly 💾
Comment with your use case if you want help choosing a model 💬

I'll drop the GitHub repo in the comments 🔗

#DepthEstimation #MonocularDepthEstimation #DepthPrediction #ComputerVision #3DVision #DeepLearning #MachineLearning #AI #PyTorch #OpenSource #EdgeAI #RealTimeAI #MLOps #Robotics

1 reply

·

reacted to their post with 🚀 4 months ago

Post

2335

🔁 One API. 12 model families. 28 variants. Why depth_estimation makes depth research easier

Switching between depth models usually means rewriting preprocessing, adapting outputs, and dealing with different codebases.

depth_estimation removes that friction.

With the same interface, you can work with:
🌊 Depth Anything
🍎 DepthPro
🧭 MiDaS
📏 ZoeDepth
🧩 MoGe
🛰️ VGGT / OmniVGGT
and more

Change one model string, keep the rest of your workflow the same.

That makes it much easier to:
⚖️ compare models fairly
🧪 prototype quickly
📈 benchmark consistently
🛠️ build reusable depth pipelines

GitHub: https://github.com/shriarul5273/depth_estimation

#depthestimation #research #computervision #python #machinelearning #opensource #pytorch

posted an update 5 months ago

Post

2335

🔁 One API. 12 model families. 28 variants. Why depth_estimation makes depth research easier

Switching between depth models usually means rewriting preprocessing, adapting outputs, and dealing with different codebases.

depth_estimation removes that friction.

With the same interface, you can work with:
🌊 Depth Anything
🍎 DepthPro
🧭 MiDaS
📏 ZoeDepth
🧩 MoGe
🛰️ VGGT / OmniVGGT
and more

Change one model string, keep the rest of your workflow the same.

That makes it much easier to:
⚖️ compare models fairly
🧪 prototype quickly
📈 benchmark consistently
🛠️ build reusable depth pipelines

GitHub: https://github.com/shriarul5273/depth_estimation

#depthestimation #research #computervision #python #machinelearning #opensource #pytorch

reacted to their post with 🚀 5 months ago

Post

3037

🚀 Releasing gradio-sync3dcompare v0.0.22 — a Gradio custom component for synchronized 3D model comparison

🔁 One component. Side-by-side. Perfectly in sync.

✨ What's included

🗂️ Supports GLB and PLY files
🔵 Renders as point clouds or native meshes
🎥 Synchronized orbit, zoom, and pan across all viewports
📐 Auto point sizing with manual override
🔍 Configurable zoom range and reset controls

📦 pip install gradio-sync3dcompare

🛠️ Built on Gradio 6.10.0 — drops into any gr.Blocks app with a single import.

🤗 Try the live demo on Hugging Face Spaces: shriarul5273/gradio_sync3d_compare

⭐ GitHub: https://github.com/shriarul5273/Sync3DCompare

🎬 See it in action in the video below.
The video shows a real-world comparison of two 3D point clouds reconstructed from stereo depth estimation — one from FoundationStereo and one from RAFTStereo. Both models are exported as GLB files directly from the depth output and loaded side-by-side into the component. Every orbit, zoom, and pan is perfectly mirrored across both viewports, making it easy to spot structural differences between the two reconstructions at any angle.

💬 Feedback on supported formats, rendering features, or comparison workflows is very welcome!

reacted to their post with 👍 5 months ago

Post

147

🚀 Releasing depth-estimation v0.1.1 — a unified Python library for monocular depth estimation

One API. 12 model families. 28 variants. The full depth workflow in a single pip install.

Switch between Depth Anything, DepthPro, MoGe, MiDaS, ZoeDepth, VGGT, and more by changing a single string — same preprocessing, same output format, every time.

What's new in v0.1.1 🎨
Introducing depth_estimation.viz — a dedicated visualization toolkit:

🖼️ Display depth maps with show_depth()
🔲 Compare models side-by-side with compare_depths()
🎭 Blend depth over RGB with overlay_depth()
🔴🔵 Generate stereoscopic anaglyphs with create_anaglyph()
🌀 Export rotating 3D surface animations with animate_3d()
🗺️ Inspect per-pixel error heatmaps with plot_error_map()

And since v0.1.0 🎬
Stream depth from video files, webcams, or frame sequences — with EMA temporal smoothing and side-by-side MP4 export.

The full workflow in one place:
✅ Inference (image, batch, CLI)
✅ Video & streaming
✅ Visualization
✅ Fine-tuning with DepthTrainer
✅ Evaluation on NYU, KITTI, DIODE
✅ Dataset loading (auto-download or custom folders)

pip install depth-estimation

🤗 Try the live demo: shriarul5273/Depth-Estimation-Compare-demo
⭐ GitHub: https://github.com/shriarul5273/depth_estimation

Would love to hear what models or features you'd like to see next!

#depthestimation #computervision #deeplearning #python #opensource #pytorch #machinelearning #AI #3Dvision #robotics #autonomousdriving #computationalphotography #imageprocessing #SLAM #pointcloud #stereovisison #neuralnetworks #MLOps #research #huggingface

posted an update 5 months ago

Post

3037

🚀 Releasing gradio-sync3dcompare v0.0.22 — a Gradio custom component for synchronized 3D model comparison

🔁 One component. Side-by-side. Perfectly in sync.

✨ What's included

🗂️ Supports GLB and PLY files
🔵 Renders as point clouds or native meshes
🎥 Synchronized orbit, zoom, and pan across all viewports
📐 Auto point sizing with manual override
🔍 Configurable zoom range and reset controls

📦 pip install gradio-sync3dcompare

🛠️ Built on Gradio 6.10.0 — drops into any gr.Blocks app with a single import.

🤗 Try the live demo on Hugging Face Spaces: shriarul5273/gradio_sync3d_compare

⭐ GitHub: https://github.com/shriarul5273/Sync3DCompare

🎬 See it in action in the video below.
The video shows a real-world comparison of two 3D point clouds reconstructed from stereo depth estimation — one from FoundationStereo and one from RAFTStereo. Both models are exported as GLB files directly from the depth output and loaded side-by-side into the component. Every orbit, zoom, and pan is perfectly mirrored across both viewports, making it easy to spot structural differences between the two reconstructions at any angle.

💬 Feedback on supported formats, rendering features, or comparison workflows is very welcome!

posted an update 5 months ago

Post

147

🚀 Releasing depth-estimation v0.1.1 — a unified Python library for monocular depth estimation

One API. 12 model families. 28 variants. The full depth workflow in a single pip install.

Switch between Depth Anything, DepthPro, MoGe, MiDaS, ZoeDepth, VGGT, and more by changing a single string — same preprocessing, same output format, every time.

What's new in v0.1.1 🎨
Introducing depth_estimation.viz — a dedicated visualization toolkit:

🖼️ Display depth maps with show_depth()
🔲 Compare models side-by-side with compare_depths()
🎭 Blend depth over RGB with overlay_depth()
🔴🔵 Generate stereoscopic anaglyphs with create_anaglyph()
🌀 Export rotating 3D surface animations with animate_3d()
🗺️ Inspect per-pixel error heatmaps with plot_error_map()

And since v0.1.0 🎬
Stream depth from video files, webcams, or frame sequences — with EMA temporal smoothing and side-by-side MP4 export.

The full workflow in one place:
✅ Inference (image, batch, CLI)
✅ Video & streaming
✅ Visualization
✅ Fine-tuning with DepthTrainer
✅ Evaluation on NYU, KITTI, DIODE
✅ Dataset loading (auto-download or custom folders)

pip install depth-estimation

🤗 Try the live demo: shriarul5273/Depth-Estimation-Compare-demo
⭐ GitHub: https://github.com/shriarul5273/depth_estimation

Would love to hear what models or features you'd like to see next!

#depthestimation #computervision #deeplearning #python #opensource #pytorch #machinelearning #AI #3Dvision #robotics #autonomousdriving #computationalphotography #imageprocessing #SLAM #pointcloud #stereovisison #neuralnetworks #MLOps #research #huggingface

shriarulmozhivarman PRO

AI & ML interests

Recent Activity

Organizations

shriarulmozhivarman PRO

AI & ML interests

Recent Activity

Organizations

shriarul5273's activity