Argument Selector 4

You are an argument selector of the tools. You must look at the reasoning of the sequence of tools, and choose the argument appropriately. You also have must look at the previous tool outputs and previous constraint outputs, because it will help you choose exact inputs. The output should be a list, containing object Id(str) as elements.

Tools: def get_multiview_rendered_object(objects: list) -> dict: """ Returns rendered images for the specified objects.

Input:
    - objects (list): A list of object IDs (strings) for which rendered images are required.

Output:
    - object_images (dict): A dictionary where keys are object IDs and values are image arrays representing the rendered objects, based on their asset IDs.
"""

def get_multiview_scene_object(objects: list): """ Returns multiple views of the specified objects from different angles.

Input:
    - objects (list): A list of object IDs (strings) for which multiple views are required.

Output:
    - multiview_scene_object (dict): A dictionary where keys are formatted as "'s  view_image" and values are image arrays representing:
        - "'s front view_image": Front view of the object.
        - "'s back view_image": Back view of the object.
        - "'s left view_image": Left view of the object.
        - "'s right view_image": Right view of the object.
"""

def get_objectcentric_object(objects: list) -> dict: """ Returns object-centric images for the specified objects in the scene. An object-centric image is one where the target object is positioned at the center, while surrounding context, including nearby objects, is also visible. It is useful when figuring out the placement of multiple objects nearby the specific object. It is also useful when trying to look at small objects. It is hard to see the small object in the topdown view image.

Input:
    - objects (list): A list of object IDs (strings) for which object-centric images are required.

Output:
    - objectcentric_images (dict): A dictionary where keys are formatted as "closed-up_m apart topdownview_image" and values are image arrays representing top-down views of the object at specified distances (1.5m, 2m, 2.5m, 3m, 3.5m).
"""

ONLY OUTPUT IN THE SAME FORMAT AS THE EXAMPLES WITHOUT EXPLANATIONS.

Example #1. User Instruction: There is one room in the scene. In the room, there is a bed. The bed is blue. Previous Constraint Outputs: ["There is one room in the scene, and the Id is 'room 0'.". "The Id of the bed is 'king-size_bed-0 (bedroom 0)'."] Current Constraint: The bed in the room is blue. Tool Sequence: ['get_multiview_rendered_object', 'get_multiview_scene_object'] Reasoning behind Tool Sequence: The Id of the bed in 'king-size_bed-0 (bedroom 0)', which I can find from the previous constraint outputs. I will use that Id to use the 'get_multivew_rendered_object' tool. The input will be same for 'get_multiview_scene_object' tool. By using those two tools, I will visually check if the bed is actually blue. Previous Tool Outputs: Current Tool to Use: 'get_multiview_rendered_object' Arguments: ['king-size_bed-0 (bedroom 0)']

Example #2. User Instruction: There is one room in the scene. In the room, there is a table. The table is brown. Previous Constraint Outputs: ["There is one room in the scene, and the Id is 'room 0'.". "The Id of the table is 'table-0 (bedroom 0)'."] Current Constraint: The table in the room is brown. Tool Sequence: ['get_multiview_scene_object', 'get_multiview_rendered_object'] Reasoning behind Tool Sequence: The Id of the table is 'table-0 (bedroom 0)', which I can find from the previous constraint outputs. I will use that Id to use the 'get_multivew_scene_object' tool. The input will be same for 'get_multiview_rendered_object' tool. By using those two tools, I will visually check if the table is actually brown. Previous Tool Outputs: Current Tool to Use: 'get_multiview_scene_object' Arguments: ['table-0 (bedroom 0)']

Example #3. User Instruction: There is one room in the scene. In the room, there is a table, a cup, a tomato, and a knife. On the table, there is a cup, a tomato, and a knife. The cup and the knife are placed very close to the tomato. Previous Constraint Outputs: ["There is one room in the scene, and the id is 'room 0'.", "There is a table, a cup, a tomato, and a knife. Their Ids are 'square table-0 (room 0)', 'mug-0 (room 0)', 'tomato-0 (room 0)', 'knife-0 (room 0)'.", "The cup, the tomato, and the knife are on the table, and the id of each object are 'mug-0 (room 0)', 'tomato-0 (room 0)', 'knife-0 (room 0)', 'square table-0 (room 0)'."] Current Constraint: The cup and the knife are place very close to the tomato. Tool Sequence: ['get_objectcentric_object', 'get_object_info'] Reasoning behind Tool Sequence: The cup and the knife are placed very close to the tomato, I want to check the surroundings of the tomato by using 'get_objectcentric_images' tool. The input will be the id of the tomato, which I can find from the previous constraint outputs. And then, I will use 'get_object_info' to get the information of the cup, the knife, and the tomato. I will especially look at the position and the coordinates. Previous Tool Outputs: Current Tool to Use: 'get_objectcentric_object' Arguments: [ 'tomato-0 (room 0)']

User Instruction: {instruction} Previous Constraint Outputs: {constraint_output} Current Constraint: {constraint} Tool Sequence: {tool_sequence} Reasoning behind Tool Sequence: {reasoning} Previous Tool Outputs: {tool_output} Current Tool to Use: {tool_to_use} Arguments: