fancy visual

000_slider_0/000_slider_0_Gen175_Pop10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0/Archive_size_Object_000_JointNature_slider_Item0_Generation_175_PopSize_10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0.csv

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000_slider_0/000_slider_0_Gen175_Pop10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0/Archive_size_Object_000_JointNature_slider_Item0_Generation_175_PopSize_10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7075fc6638e9a4aa1425118ecdde503cbf2b8218aead75c5d7cc236d4d0a41fc
+size 25495

000_slider_0/000_slider_0_Gen175_Pop10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0/Archive_space_Object_000_JointNature_slider_Item0_Generation_175_PopSize_10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee6cb6a62756fc5682b4a53c46b33627234f1df7d2bd0d5ed59eb69812cd5be6
+size 104381956

000_slider_0/000_slider_0_Gen175_Pop10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0/Archive_space_Object_000_JointNature_slider_Item0_Generation_175_PopSize_10000_baseline_MAP-Elite-Explore_APGen_initState_max_v0_time.json

@@ -0,0 +1,37 @@
+{
+    "object_to_grasp": "000",
+    "joint_nature": "slider",
+    "item_joint_to_activate": 0,
+    "nb_generations": 175,
+    "pop_size": 10000,
+    "nbr_succes_traj_in_archive": 3379,
+    "nbr_succes_grasp_in_archive": 4633,
+    "total_execution_time": "13:06:47",
+    "nb_cell_in_archive_max": 305993,
+    "nb_cell_discovered": 161456,
+    "object_frame_in_world_frame": [
+        0.6,
+        0.5,
+        0.0,
+        1.0,
+        0.0,
+        0.0,
+        0.0
+    ],
+    "scale_object": 1.0,
+    "dict_dof_limits_val": {
+        "3": {
+            "type_joint": "PRISMATIC",
+            "joint_item": 0,
+            "joint_obj_nbr": 3,
+            "link_associated_mystery_box": "tirroir",
+            "associated_link": "tirroir",
+            "min_val": 0.0,
+            "max_val": 0.19
+        }
+    },
+    "init_articulation_state": "max",
+    "base_line_grasp": "MAP-Elite-Explore",
+    "baseline_trajectory": "APGen",
+    "version": 0
+}

app.py

@@ -13,23 +13,22 @@ DATA_PATH = "000_hinge_0/000_hinge_0_Gen175_Pop10000_baseline_MAP-Elite-Explore_
 # -----------------------------
 def load_all_trajectories(path):
     traj_list = []
-
+    count =0
+    nb_traj_stored = 0
     with open(path, "r") as f:
         for line in f:
-            obj = json.loads(line)
-            traj = obj.get("traj_list")
-
-            if traj is None:
-                continue
-
-            traj = [x[:3] for x in traj]
-            traj_list.append(traj)
-
+            if count %50==0:
+                obj = json.loads(line)
+                traj = obj.get("traj_list")
+                if traj is None:
+                    continue
+                traj = [x[:3] for x in traj]
+                traj_list.append(traj)
+                nb_traj_stored += 1
+            count += 1
+    print(f"Number of trajectories stored: {nb_traj_stored}")
     return traj_list
 
-# -----------------------------
-# Build dict
-# -----------------------------
 def generate_trajectories():
     trajs = load_all_trajectories(DATA_PATH)
     return {f"Trajectory {i}": traj for i, traj in enumerate(trajs)}
@@ -39,46 +38,44 @@ TRAJECTORIES = generate_trajectories()
 # -----------------------------
 # Plot function
 # -----------------------------
-def plot_trajectory(choice):
+def update_plot(choice, progress):
     fig = go.Figure()
 
     for name, traj in TRAJECTORIES.items():
         traj = np.array(traj)
 
-        if traj.shape[0] == 0:
+        if len(traj) == 0:
             continue
 
-        # -------------------------
-        # Highlight selected traj
-        # -------------------------
-        if name == choice:
+        # other trajectories
+        if name != choice:
             fig.add_trace(go.Scatter3d(
                 x=traj[:, 0],
                 y=traj[:, 1],
                 z=traj[:, 2],
-                mode='lines',
-                name=name,
-                line=dict(
-                    width=8,
-                    color='red'   # 🔴 highlighted color
-                )
+                mode="lines",
+                line=dict(width=4, color="red"),
+                opacity=0.1,
+                showlegend=False
             ))
+
+        # selected trajectory (animated by slider)
         else:
+            n = len(traj)
+            k = max(2, int(n * progress))
+            traj_partial = traj[:k]
+
             fig.add_trace(go.Scatter3d(
-                x=traj[:, 0],
-                y=traj[:, 1],
-                z=traj[:, 2],
-                mode='lines',
-                line=dict(
-                    width=2,
-                    color='lightgray'
-                ),
-                opacity=0.15,
-                showlegend=False
+                x=traj_partial[:, 0],
+                y=traj_partial[:, 1],
+                z=traj_partial[:, 2],
+                mode="lines",
+                line=dict(width=6, color="green"),
+                name=name
             ))
 
     fig.update_layout(
-        title=f"Selected: {choice}",
+        title=f"{choice} | progress={progress:.2f}",
         scene=dict(
             xaxis_title="X",
             yaxis_title="Y",
@@ -90,17 +87,29 @@ def plot_trajectory(choice):
     return fig
 
 # -----------------------------
-# Gradio UI
+# Gradio Blocks UI (LIVE)
 # -----------------------------
 choices = list(TRAJECTORIES.keys())
 
-demo = gr.Interface(
-    fn=plot_trajectory,
-    inputs=gr.Dropdown(choices, label="Choose trajectory"),
-    outputs=gr.Plot(label="3D Trajectories (interactive)"),
-    title="3D Trajectory Viewer",
-    description="All trajectories are shown in grey. Selected one is highlighted in red and thicker."
-)
+with gr.Blocks() as demo:
+
+    gr.Markdown("# 🔴 3D Trajectory Viewer (LIVE SLIDER)")
+
+    with gr.Row():
+        traj_dropdown = gr.Dropdown(choices, label="Choose trajectory")
+        slider = gr.Slider(0, 1, value=1, step=0.01, label="Progress")
+
+    plot = gr.Plot()
+
+    # live binding (IMPORTANT)
+    def refresh(choice, progress):
+        return update_plot(choice, progress)
+
+    traj_dropdown.change(refresh, [traj_dropdown, slider], plot)
+    slider.change(refresh, [traj_dropdown, slider], plot)
+
+    # initial render
+    demo.load(refresh, [traj_dropdown, slider], plot)
 
 if __name__ == "__main__":
     demo.launch()