MindCube — Gemma4-31B — sample among_group139_q0_5_1

# Display Image 1 to identify objects
show(InputImages[0])

# Define the objects to locate
objects_to_locate = [
    "green ball",
    "smoking machine",
    "cardboard-covered sliding door",
    "wall",
    "window"
]

# Locate the objects in Image 1
locations = {}
for obj in objects_to_locate:
    coords = vlm.locate(InputImages[0], f"Give the (x, y) center coordinates in 0-1000 normalized scale for {obj}. Reply with ONLY the numbers.")
    locations[obj] = coords
    print(f"{obj}: {coords}")

# Convert normalized coordinates to pixels for future use
W, H = InputImages[0].width, InputImages[0].height
pixel_locations = {}
for obj, coords in locations.items():
    if coords and "Not visible" not in coords:
        try:
            # Parse the (x, y) string
            x, y = map(float, coords.replace('(', '').replace(')', '').split(','))
            px, py = tools.Geometry.normalized_to_pixel((x, y), W, H)
            pixel_locations[obj] = (px, py)
        except ValueError:
            pixel_locations[obj] = None
    else:
        pixel_locations[obj] = None

print("Pixel locations:", pixel_locations)

 [image: show_0001] 
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for green ball. Reply with ONLY the numbers.
[VLM A | locate] 499 744
green ball: 499 744
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for smoking machine. Reply with ONLY the numbers.
[VLM A | locate] Not visible
A range hood is present, but no smoking machine is visible.
smoking machine: Not visible
A range hood is present, but no smoking machine is visible.
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for cardboard-covered sliding door. Rep

# Re-locate objects with a robust parser
objects_to_locate = [
    "green ball",
    "range hood", # mapping 'smoking machine' to range hood
    "wall",
    "window",
    "cardboard-covered sliding door"
]

locations = {}
for obj in objects_to_locate:
    coords = vlm.locate(InputImages[0], f"Give the (x, y) center coordinates in 0-1000 normalized scale for {obj}. Reply with ONLY the numbers.")
    locations[obj] = coords
    print(f"{obj}: {coords}")

W, H = InputImages[0].width, InputImages[0].height
pixel_locations = {}
for obj, coords in locations.items():
    if coords and "Not visible" not in coords:
        try:
            # Handle both space and comma separation
            parts = coords.replace('(', '').replace(')', '').replace(',', ' ').split()
            if len(parts) >= 2:
                x, y = float(parts[0]), float(parts[1])
                px, py = tools.Geometry.normalized_to_pixel((x, y), W, H)
                pixel_locations[obj] = (px, py)
            else:
                pixel_locations[obj] = None
        except ValueError:
            pixel_locations[obj] = None
    else:
        pixel_locations[obj] = None

print("Pixel locations:", pixel_locations)

# Now segment the objects that were found
all_segs = []
for obj, pt in pixel_locations.items():
    if pt:
        seg = tools.SAM3.segment_image_by_points(InputImages[0], [list(pt)], [1], label=obj)
        # Verify mask is not empty
        fi = seg.frame_indices[0]
        if seg.get_mask(frame=fi, object=0).sum() > 0:
            all_segs.append(seg)
            print(f"Successfully segmented {obj}")
        else:
            print(f"Segmentation failed for {obj} (empty mask)")

# Combine masks if possible or keep as list
# Since we need them for BEV and centroids, we can use a list or a custom PerFrameMask if needed.
# For now, let's just store them.

[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for green ball. Reply with ONLY the numbers.
[VLM A | locate] 500 746
green ball: 500 746
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for range hood. Reply with ONLY the numbers.
[VLM A | locate] 622 440
range hood: 622 440
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinates in that case. Only if the requested target is clearly and unambiguously present, answer the request below.

Request: Give the (x, y) center coordinates in 0-1000 normalized scale for wall. Reply with ONLY the numbers.
[VLM A | locate] 500 335
wall: 500 335
[VLM Q | locate] Before answering, first check whether what the question describes is clearly visible in the provided image(s). If it is absent or ambiguous, reply EXACTLY `Not visible` on its own line (optionally followed by one short line explaining what you saw instead) — do NOT return coordinat

# Use VLM to reason about the layout across all 4 images
question = """
I have 4 images of a green ball from different viewpoints.
Image 1: The range hood (smoking machine) is in the background.
Image 2: A window is in the background.
Image 3: A cardboard-covered sliding door is in the background.
Image 4: A plain wall is in the background.

Assuming these are roughly orthogonal views (Front, Left, Back, Right) centered on the ball:
If Image 1 is the 'Front' view, what object is to the left of the ball from that viewpoint?
Please analyze the images to confirm if Image 2 corresponds to the view from the left of the ball relative to Image 1.
"""

answer = vlm.ask_with_thinking(InputImages, question)
print(answer)

[VLM Q | thinking] 
I have 4 images of a green ball from different viewpoints.
Image 1: The range hood (smoking machine) is in the background.
Image 2: A window is in the background.
Image 3: A cardboard-covered sliding door is in the background.
Image 4: A plain wall is in the background.

Assuming these are roughly orthogonal views (Front, Left, Back, Right) centered on the ball:
If Image 1 is the 'Front' view, what object is to the left of the ball from that viewpoint?
Please analyze the images to confirm if Image 2 corresponds to the view from the left of the ball relative to Image 1.

[VLM A | thinking] Based on the provided images:

1.  **Object to the left of the ball in Image 1:** From the viewpoint of Image 1 (the 'Front' view), there is a **small red and white box** to the left of the green ball.

2.  **Analysis of Image 2 as the 'Left' view:** 
    *   In **Image 1**, the green box is to the **right** of the ball and the white object is in the **foreground (front)**.
    *   If **Image 2** were the view from the left (a 90-degree counter-clockwise rotation around the ball), the object that was in the front (white object) would move to the **right**, and the object that was on the right (green box) would move to the **back**.
    *   In **Image 2**, while the white object is indeed to the right, the green box is to the **left**. A green box on the left would correspond to a 180-degree rotation from Image 1, not a 90-degree rotation to the left.

Therefore, **Image 2 does not correspond to the view from the left of the ball relative to Image 1.**
Based on the provided images:

1.  **Object to the left of the ball in Image 1:** From the viewpoint of Image 1 (the 'Front' view), there is a **small red and white box** to the left of the green ball.

2.  **Analysis of Image 2 as the 'Left' view:** 
    *   In **Image 1**, the green box is to the **right** of the ball and the white object is in the **foreground (front)**.
    *   If **Image 2** were the view from

ReturnAnswer("C. Wall")

[ReturnAnswer] Answer submitted: C. Wall