Spaces:
Running
Running
Raj Bhalerao commited on
Commit ·
c1bf807
1
Parent(s): 7326db3
openvino adapted and adjustments
Browse files- README.md +5 -4
- backend/config.py +3 -3
- backend/model.py +3 -6
- frontend/initial.html +23 -14
- frontend/vehicles.html +14 -8
- requirements.txt +1 -0
README.md
CHANGED
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@@ -22,11 +22,12 @@ Full-stack traffic analytics dashboard. YOLO + ByteTrack backend processes uploa
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- **Frontend**: Vanilla HTML/JS, TailwindCSS CDN, Chart.js
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- **Infra**: Docker, CPU-only inference
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-
## Run with Docker
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```bash
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docker build -t
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docker run -p 7860:7860
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```
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Open `http://localhost:7860`
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@@ -45,4 +46,4 @@ python backend/server.py
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3. System auto-calculates optimal inference settings (adjustable)
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4. Draw counting line on first frame
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5. Engine processes frames, dashboard updates in real time
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-
6. View run details and live analytics
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- **Frontend**: Vanilla HTML/JS, TailwindCSS CDN, Chart.js
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- **Infra**: Docker, CPU-only inference
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+
## Run Locally with Docker
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```bash
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docker build -t urbanflow .
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docker run -p 7860:7860 -e HF_TOKEN=hf_your_token_here urbanflow
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+
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```
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Open `http://localhost:7860`
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3. System auto-calculates optimal inference settings (adjustable)
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4. Draw counting line on first frame
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5. Engine processes frames, dashboard updates in real time
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+
6. View run details and live analytics
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backend/config.py
CHANGED
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@@ -57,7 +57,7 @@ def get_optimal_config(video_path):
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model_fps = _estimate_fps(imgsz, cpu_score)
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detect_stride = _select_stride(fps, model_fps)
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effective_fps = model_fps / detect_stride
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-
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return {
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"video_fps": fps,
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@@ -69,6 +69,6 @@ def get_optimal_config(video_path):
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"imgsz": imgsz,
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"detect_stride": detect_stride,
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"model_fps_est": round(model_fps, 2),
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-
"effective_fps_est": round(effective_fps, 2)
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-
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}
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model_fps = _estimate_fps(imgsz, cpu_score)
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detect_stride = _select_stride(fps, model_fps)
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effective_fps = model_fps / detect_stride
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+
realtime_possible = effective_fps >= fps
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return {
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"video_fps": fps,
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"imgsz": imgsz,
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"detect_stride": detect_stride,
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"model_fps_est": round(model_fps, 2),
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+
"effective_fps_est": round(effective_fps, 2),
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"realtime_possible": realtime_possible
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}
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backend/model.py
CHANGED
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@@ -1,4 +1,3 @@
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# Using OpenVino as per Space settings compatible for performance on Intel CPU hardware
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import os
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from pathlib import Path
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from dotenv import load_dotenv
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@@ -8,7 +7,7 @@ load_dotenv()
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MODEL_DIR = Path(__file__).parent / "weights"
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PT_PATH = MODEL_DIR / "best.pt"
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-
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def ensure_openvino():
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@@ -22,12 +21,10 @@ def ensure_openvino():
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f'https://huggingface.co/Perception365/VehicleNet-Y26s/resolve/main/weights/best.pt'
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)
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if not
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# Export happens relative to the .pt file's location
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# Result will be: weights/best_openvino_model/
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YOLO(str(PT_PATH)).export(format="openvino", dynamic=True)
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def load_model():
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ensure_openvino()
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-
return YOLO(str(
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import os
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from pathlib import Path
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from dotenv import load_dotenv
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MODEL_DIR = Path(__file__).parent / "weights"
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PT_PATH = MODEL_DIR / "best.pt"
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+
OV_DIR = MODEL_DIR / "best_openvino_model"
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def ensure_openvino():
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f'https://huggingface.co/Perception365/VehicleNet-Y26s/resolve/main/weights/best.pt'
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)
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+
if not OV_DIR.exists():
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YOLO(str(PT_PATH)).export(format="openvino", dynamic=True)
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def load_model():
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ensure_openvino()
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+
return YOLO(str(OV_DIR), task="detect")
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frontend/initial.html
CHANGED
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@@ -105,8 +105,9 @@
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<!-- STEP: Module Select -->
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<div id="step-modules" class="w-full flex flex-col fade-in justify-center">
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-
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900">Select AI Module</h2>
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-
<p class="text-[13px] font-medium text-slate-400 mb-6">Choose an intelligence pipeline for
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stream.</p>
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<div class="grid grid-cols-2 gap-4">
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@@ -127,7 +128,8 @@
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Coming Soon</div>
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<i class="fa-solid fa-layer-group text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Semantic
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-
<br>Segmentation
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<p class="text-[10px] text-slate-400 font-medium">Pixel-perfect instance segmentation for
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complex spatial scene understanding.</p>
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</div>
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@@ -138,7 +140,8 @@
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Coming Soon</div>
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<i class="fa-solid fa-tags text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Image
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<br>Classification
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<p class="text-[10px] text-slate-400 font-medium">High-speed categorical labeling for vast and
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diverse image datasets.</p>
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</div>
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@@ -149,7 +152,8 @@
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Coming Soon</div>
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<i class="fa-solid fa-expand text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Custom
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-
<br>Detection
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<p class="text-[10px] text-slate-400 font-medium">Deploy proprietary neural networks for highly
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specialized edge inference.</p>
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</div>
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@@ -162,8 +166,10 @@
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class="text-slate-400 hover:text-black transition flex items-center text-xs font-bold uppercase tracking-widest mb-6 w-fit">
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<i class="fa-solid fa-arrow-left mr-2"></i> Back to Modules
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</button>
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-
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900">Initialize Media Source
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-
<
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Traffic Analytics pipeline.</p>
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<div id="dropzone"
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@@ -192,8 +198,9 @@
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<!-- STEP: Config -->
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<div id="step-config" class="hidden w-full flex flex-col fade-in justify-center">
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-
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900">System Configuration</h2>
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-
<p
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Optimal values auto-configured for performance
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</p>
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@@ -207,8 +214,10 @@
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<!-- STEP: Draw Line -->
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<div id="step-draw" class="hidden w-full flex flex-col fade-in justify-center">
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-
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900">Define Boundary</h2>
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<p
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points to establish counting threshold</p>
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<div
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@@ -244,9 +253,9 @@
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let runConfig = {};
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const configParams = [
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-
{ key: "imgsz", label: "Image Size", step: 32, min:
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{ key: "conf", label: "Confidence", step: 0.01, min: 0.
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{ key: "iou", label: "IoU Threshold", step: 0.05, min: 0.
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{ key: "detect_stride", label: "Frame Stride", step: 1, min: 1, max: 10 }
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];
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<!-- STEP: Module Select -->
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<div id="step-modules" class="w-full flex flex-col fade-in justify-center">
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+
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900 text-center">Select AI Module</h2>
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| 109 |
+
<p class="text-[13px] font-medium text-slate-400 mb-6 text-center">Choose an intelligence pipeline for
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+
your media
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stream.</p>
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<div class="grid grid-cols-2 gap-4">
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Coming Soon</div>
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<i class="fa-solid fa-layer-group text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Semantic
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| 131 |
+
<br>Segmentation
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| 132 |
+
</h3>
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<p class="text-[10px] text-slate-400 font-medium">Pixel-perfect instance segmentation for
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complex spatial scene understanding.</p>
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</div>
|
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Coming Soon</div>
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<i class="fa-solid fa-tags text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Image
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+
<br>Classification
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+
</h3>
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<p class="text-[10px] text-slate-400 font-medium">High-speed categorical labeling for vast and
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diverse image datasets.</p>
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</div>
|
|
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Coming Soon</div>
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<i class="fa-solid fa-expand text-3xl text-slate-300 mb-4 block"></i>
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<h3 class="font-montserrat font-bold text-sm mb-2 leading-tight text-slate-700">Custom
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+
<br>Detection
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+
</h3>
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<p class="text-[10px] text-slate-400 font-medium">Deploy proprietary neural networks for highly
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specialized edge inference.</p>
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</div>
|
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class="text-slate-400 hover:text-black transition flex items-center text-xs font-bold uppercase tracking-widest mb-6 w-fit">
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<i class="fa-solid fa-arrow-left mr-2"></i> Back to Modules
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</button>
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| 169 |
+
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900 text-center">Initialize Media Source
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+
</h2>
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+
<p class="text-[13px] font-medium text-slate-400 mb-8 text-center">Provide the target video footage to
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+
configure the
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Traffic Analytics pipeline.</p>
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<div id="dropzone"
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<!-- STEP: Config -->
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<div id="step-config" class="hidden w-full flex flex-col fade-in justify-center">
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+
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900 text-center">System Configuration</h2>
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| 202 |
+
<p
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+
class="text-[11px] font-montserrat font-bold text-slate-400 mb-8 uppercase tracking-widest text-center">
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Optimal values auto-configured for performance
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</p>
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<!-- STEP: Draw Line -->
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<div id="step-draw" class="hidden w-full flex flex-col fade-in justify-center">
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+
<h2 class="text-3xl font-montserrat font-bold mb-2 text-slate-900 text-center">Define Boundary</h2>
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+
<p
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class="text-[11px] font-montserrat font-bold uppercase tracking-widest text-slate-400 mb-6 text-center">
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Click two
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points to establish counting threshold</p>
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<div
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let runConfig = {};
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const configParams = [
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{ key: "imgsz", label: "Image Size", step: 32, min: 640, max: 1280 },
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{ key: "conf", label: "Confidence", step: 0.01, min: 0.08, max: 1.0, decimals: 2 },
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+
{ key: "iou", label: "IoU Threshold", step: 0.05, min: 0.5, max: 1.0, decimals: 2 },
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{ key: "detect_stride", label: "Frame Stride", step: 1, min: 1, max: 10 }
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];
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frontend/vehicles.html
CHANGED
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@@ -154,10 +154,10 @@
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</div>
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<!-- TAB: Overview -->
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-
<div id="tab-overview" class="grid grid-cols-
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<!-- Congestion Index -->
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-
<div class="col-span-
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Congestion Index
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<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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@@ -200,7 +200,7 @@
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<!-- Vehicle Classification Breakdown -->
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<div
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-
class="col-span-
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<div class="flex justify-between items-center mb-1 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Classification
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<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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@@ -213,7 +213,7 @@
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</div>
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<!-- Class Dominance -->
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-
<div class="col-span-
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Class Dominance
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<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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@@ -228,7 +228,7 @@
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</div>
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<!-- Traffic Flow Over Time -->
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-
<div class="col-span-
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Traffic Flow
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<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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@@ -246,7 +246,7 @@
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<!-- TAB: Run Details -->
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<div id="tab-run-details" class="hidden flex-1 min-h-0 overflow-y-auto">
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-
<div class="grid grid-cols-2 gap-4
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<!-- Video Input -->
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<div class="bg-white rounded-xl border border-slate-200 shadow-sm flex flex-col overflow-hidden">
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<div class="px-5 py-3 border-b border-slate-100 bg-slate-50/50">
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@@ -308,7 +308,12 @@
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const tip = wrap.querySelector('.info-tip');
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if (!tip) return;
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const rect = wrap.getBoundingClientRect();
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-
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tip.style.left = Math.min(rect.left, window.innerWidth - 300) + 'px';
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});
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@@ -387,11 +392,12 @@
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<a href="https://huggingface.co/Perception365/VehicleNet-Y26s" target="_blank" class="text-sm font-bold text-blue-600 bg-blue-50 px-2 py-0.5 rounded border border-blue-100 mono-font hover:bg-blue-100 transition">Perception365/VehicleNet-Y26s <i class="fa-solid fa-arrow-up-right-from-square text-[9px] ml-1"></i></a>
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</div>` +
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detailRow('task', 'detect') +
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detailRow('tracker', 'ByteTrack');
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document.getElementById('panel-infer').innerHTML =
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infoRow('imgsz', c.imgsz, 'Input image resolution for model inference.') +
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-
infoRow('
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infoRow('conf', c.conf || 0.12, 'Minimum confidence threshold for valid detections.') +
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infoRow('iou', c.iou || 0.60, 'Intersection-over-Union threshold for non-max suppression.') +
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infoRow('stream', 'TRUE', 'Frame-by-frame processing for constant memory usage.') +
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</div>
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<!-- TAB: Overview -->
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+
<div id="tab-overview" class="grid grid-cols-6 gap-4 flex-1 min-h-0 grid-rows-2">
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<!-- Congestion Index -->
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| 160 |
+
<div class="col-span-3 bg-white rounded-xl p-5 border border-slate-200 shadow-sm flex flex-col">
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Congestion Index
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| 163 |
<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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| 200 |
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<!-- Vehicle Classification Breakdown -->
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| 202 |
<div
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| 203 |
+
class="col-span-2 bg-white rounded-xl p-5 border border-slate-200 shadow-sm flex flex-col overflow-hidden">
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| 204 |
<div class="flex justify-between items-center mb-1 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Classification
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| 206 |
<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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</div>
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<!-- Class Dominance -->
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+
<div class="col-span-3 bg-white rounded-xl p-5 border border-slate-200 shadow-sm flex flex-col">
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Class Dominance
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| 219 |
<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
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</div>
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<!-- Traffic Flow Over Time -->
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+
<div class="col-span-3 bg-white rounded-xl p-5 border border-slate-200 shadow-sm flex flex-col">
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<div class="flex justify-between items-center mb-2 relative">
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<h3 class="font-bold text-slate-900 text-sm flex items-center">Traffic Flow
|
| 234 |
<span class="info-wrap"><span class="info-btn"><i class="fa-solid fa-info"></i></span>
|
|
|
|
| 246 |
|
| 247 |
<!-- TAB: Run Details -->
|
| 248 |
<div id="tab-run-details" class="hidden flex-1 min-h-0 overflow-y-auto">
|
| 249 |
+
<div class="grid grid-cols-2 gap-4">
|
| 250 |
<!-- Video Input -->
|
| 251 |
<div class="bg-white rounded-xl border border-slate-200 shadow-sm flex flex-col overflow-hidden">
|
| 252 |
<div class="px-5 py-3 border-b border-slate-100 bg-slate-50/50">
|
|
|
|
| 308 |
const tip = wrap.querySelector('.info-tip');
|
| 309 |
if (!tip) return;
|
| 310 |
const rect = wrap.getBoundingClientRect();
|
| 311 |
+
const tipH = 60;
|
| 312 |
+
if (rect.bottom + tipH + 10 > window.innerHeight) {
|
| 313 |
+
tip.style.top = (rect.top - tipH - 6) + 'px';
|
| 314 |
+
} else {
|
| 315 |
+
tip.style.top = (rect.bottom + 6) + 'px';
|
| 316 |
+
}
|
| 317 |
tip.style.left = Math.min(rect.left, window.innerWidth - 300) + 'px';
|
| 318 |
});
|
| 319 |
|
|
|
|
| 392 |
<a href="https://huggingface.co/Perception365/VehicleNet-Y26s" target="_blank" class="text-sm font-bold text-blue-600 bg-blue-50 px-2 py-0.5 rounded border border-blue-100 mono-font hover:bg-blue-100 transition">Perception365/VehicleNet-Y26s <i class="fa-solid fa-arrow-up-right-from-square text-[9px] ml-1"></i></a>
|
| 393 |
</div>` +
|
| 394 |
detailRow('task', 'detect') +
|
| 395 |
+
detailRow('format', 'OpenVINO') +
|
| 396 |
detailRow('tracker', 'ByteTrack');
|
| 397 |
|
| 398 |
document.getElementById('panel-infer').innerHTML =
|
| 399 |
infoRow('imgsz', c.imgsz, 'Input image resolution for model inference.') +
|
| 400 |
+
infoRow('vid_stride', c.detect_stride, 'Frames skipped between consecutive detections.') +
|
| 401 |
infoRow('conf', c.conf || 0.12, 'Minimum confidence threshold for valid detections.') +
|
| 402 |
infoRow('iou', c.iou || 0.60, 'Intersection-over-Union threshold for non-max suppression.') +
|
| 403 |
infoRow('stream', 'TRUE', 'Frame-by-frame processing for constant memory usage.') +
|
requirements.txt
CHANGED
|
@@ -7,6 +7,7 @@ numpy==1.24.3
|
|
| 7 |
python-dotenv==1.0.0
|
| 8 |
websockets==12.0
|
| 9 |
onnxruntime
|
|
|
|
| 10 |
onnx>=1.12.0
|
| 11 |
onnxslim>=0.1.71
|
| 12 |
lap>=0.5.12
|
|
|
|
| 7 |
python-dotenv==1.0.0
|
| 8 |
websockets==12.0
|
| 9 |
onnxruntime
|
| 10 |
+
openvino>=2024.0.0
|
| 11 |
onnx>=1.12.0
|
| 12 |
onnxslim>=0.1.71
|
| 13 |
lap>=0.5.12
|