fix: 5 critical bugs + dark theme

- fix yolo model path typo in config.py
- add ROI validation before locking in Data Lab
- stop on focal=0 in Stereo Geometry instead of propagating inf
- wrap PFM parsing in try/except for invalid uploads
- clamp stride max to window_size/2 in Real-Time Detection
- add dark theme with cyan accent to .streamlit/config.toml

.streamlit/config.toml

@@ -1,3 +1,11 @@
 [server]
 enableXsrfProtection = false
 enableCORS = false
+
+[theme]
+base = "dark"
+primaryColor = "#00d4ff"
+backgroundColor = "#0e1117"
+secondaryBackgroundColor = "#1a1f2e"
+textColor = "#e6e6e6"
+font = "sans serif"

pages/2_Data_Lab.py

@@ -100,8 +100,12 @@ with col1:
 
     up_gt_l = st.file_uploader("Left Ground Truth Depth (.pfm)", type=["pfm"])
     if up_gt_l:
-        gt_l_prev = read_pfm(up_gt_l.read());  up_gt_l.seek(0)
-        st.image(vis_depth(gt_l_prev), caption="Left GT Depth Preview", use_container_width=True)
+        try:
+            gt_l_prev = read_pfm(up_gt_l.read());  up_gt_l.seek(0)
+            st.image(vis_depth(gt_l_prev), caption="Left GT Depth Preview", use_container_width=True)
+        except (ValueError, Exception) as e:
+            st.error(f"❌ Invalid PFM file (left): {e}")
+            up_gt_l = None
 
 with col2:
     up_r = st.file_uploader("Right Image (Stereo Match)", type=["png", "jpg", "jpeg"])
@@ -112,8 +116,12 @@ with col2:
 
     up_gt_r = st.file_uploader("Right Ground Truth Depth (.pfm)", type=["pfm"])
     if up_gt_r:
-        gt_r_prev = read_pfm(up_gt_r.read());  up_gt_r.seek(0)
-        st.image(vis_depth(gt_r_prev), caption="Right GT Depth Preview", use_container_width=True)
+        try:
+            gt_r_prev = read_pfm(up_gt_r.read());  up_gt_r.seek(0)
+            st.image(vis_depth(gt_r_prev), caption="Right GT Depth Preview", use_container_width=True)
+        except (ValueError, Exception) as e:
+            st.error(f"❌ Invalid PFM file (right): {e}")
+            up_gt_r = None
 
 # ---------------------------------------------------------------------------
 # Step 2 — Full pipeline (requires all 5 files)
@@ -268,6 +276,9 @@ if up_l and up_r and up_conf and up_gt_l and up_gt_r:
     # -----------------------------------------------------------------------
     st.divider()
     if st.button("🚀 Lock Data & Proceed to Benchmark"):
+        if not st.session_state.get("rois") or len(st.session_state["rois"]) == 0:
+            st.error("❌ Define at least one ROI before locking!")
+            st.stop()
         rois_data = []
         for i, roi in enumerate(st.session_state["rois"]):
             rois_data.append({

pages/6_RealTime_Detection.py

@@ -159,7 +159,7 @@ def rce_feature_fn(patch_bgr):
 # ===================================================================
 st.subheader("Sliding Window Parameters")
 p1, p2, p3 = st.columns(3)
-stride = p1.slider("Stride (px)", 4, max(win_w, win_h),
+stride = p1.slider("Stride (px)", 4, max(win_w // 2, 4),
                     max(win_w // 4, 4), step=2,
                     help="Lower = more windows = slower but finer")
 conf_thresh = p2.slider("Confidence Threshold", 0.5, 1.0, 0.7, 0.05)

pages/8_Stereo_Geometry.py

@@ -69,8 +69,10 @@ baseline = float(calib.get("baseline", 1.0))
 ndisp    = int(calib.get("ndisp", 128))
 
 if focal <= 0:
-    st.warning("Focal length is **0** — the camera config may be missing or malformed. "
-               "Depth values will be zero until you upload a valid Middlebury config in **Data Lab**.")
+    st.error("❌ Focal length is **0** — the camera config is missing or malformed. "
+            "Depth estimation cannot proceed. Return to **Data Lab** and upload a valid "
+            "Middlebury camera config.")
+    st.stop()
 
 st.subheader("Camera Calibration")
 cc1, cc2, cc3, cc4 = st.columns(4)

src/config.py

@@ -13,8 +13,7 @@ BIRD_YAML = BIRD_YOLO_DIR / "bird_data.yaml"
 # Model Paths
 MODEL_DIR = PROJECT_ROOT / "models"
 MODEL_PATHS = {
-    # 'yolo': MODEL_DIR / "yolov8n.pt",
-    'yolo' : PROJECT_ROOT / "volov8n.pt", 
+    'yolo' : MODEL_DIR / "yolov8n.pt",
     'resnet': MODEL_DIR / "resnet18.pth",
     'resnet_head': MODEL_DIR / "resnet18_head.pkl",
     'mobilenet': MODEL_DIR / "mobilenet_v3.pth",