From 2514cc943d96b327d189c15ff97fb99a4f422a2c Mon Sep 17 00:00:00 2001 From: Junhan Date: Thu, 7 May 2026 19:31:45 +0800 Subject: [PATCH] update --- benchmark.yaml | 193 +- benchmark_can.yaml | 257 ++ starvla_inference_server.py | 17 +- starvla_inference_server_unnorm.py | 257 ++ starvla_policy.py | 34 +- task.yaml | 5312 ++++++++++++++++++++++++++++ 6 files changed, 5976 insertions(+), 94 deletions(-) create mode 100644 benchmark_can.yaml create mode 100644 starvla_inference_server_unnorm.py create mode 100644 task.yaml diff --git a/benchmark.yaml b/benchmark.yaml index 18919bb..7eaec6e 100644 --- a/benchmark.yaml +++ b/benchmark.yaml @@ -1,77 +1,80 @@ general: scan_project: true root_paths: - asset: /home/ubuntu/projects/gen_data/data - checkpoints: /home/ubuntu/data/models - output: /home/ubuntu/output + asset: /home/ubuntu/xionghao/sim_hofee/sim_hofee/assets + checkpoints: /home/ubuntu/xionghao/starVLA-starVLA/playground/Checkpoints + output: /home/ubuntu/xionghao/sim_hofee simulation: + stereotype: isaaclab + intiailize_steps: 300 launch_config: device: cuda enable_cameras: true headless: false livestream: 0 + scene: - name: kujiale_multispace + name: 827313_home base_config: stereotype: usd - name: _827313_home_workspace_00 + name: _827313_home_workspace_01 source: local - asset_path: asset://scenes/kujiale_multispace/827313_home/workspace_00.usd + asset_path: asset://scenes/kujiale_multispace/827313_home/workspace_01.usd object_cfg_dict: - omni6DPose_can_016: - name: omni6DPose_can_016 + omni6DPose_timer_017: + name: omni6DPose_timer_017 stereotype: rigid source: local - asset_path: asset://objects/omni6DPose/can/omni6DPose_can_016/Aligned.usd + asset_path: asset://objects/omni6DPose/timer/omni6DPose_timer_017/Aligned.usd scale: - 0.001 - 0.001 - 0.001 position: - - 0.2 - - -4.15243 - - 0.5 + - 0.552364 + - -4.0582599999999995 + - 0.524713118 quaternion: - - -0.304408012043137 - - -0.304408012043137 - - 0.638228612805745 - - 0.6382286128057448 + - 0.166210542394157 + - 0.166210542394157 + - 0.6872947370648492 + - 0.6872947370648491 axis_y_up: true - omni6DPose_plug_001: - name: omni6DPose_plug_001 + omni6DPose_book_031: + name: omni6DPose_book_031 stereotype: rigid source: local - asset_path: asset://objects/omni6DPose/plug/omni6DPose_plug_001/Aligned.usd + asset_path: asset://objects/omni6DPose/book/omni6DPose_book_031/Aligned.usd scale: - 0.001 - 0.001 - 0.001 position: - - 0.219859 - - -3.852430000000001 - - 0.510259093 + - 0.6623640000000001 + - -3.7882599999999997 + - 0.5101601435 quaternion: - - 0.7070997233636068 - - 0.707099723363607 - - 0.003159306745230588 - - 0.003159306745230588 + - 0.7063055546421202 + - 0.7063055546421203 + - -0.03365209475927027 + - -0.033652094759270265 axis_y_up: true robot_cfg_dict: - Franka: - name: Franka + Franka_Robotiq_2f85: + name: Franka_Robotiq_2f85 asset_path: asset://Franka/franka_robotiq_2f85_zedmini.usd position: - - -0.3779152929316859 - - -3.943187336951741 - - 0.3130090550954169 - rotation: - - 0.9987576855319703 + - 1.082364 + - -3.92826 + - 0.47629299999999997 + rotation: + - 7.549799991308018e-08 - 0.0 - 0.0 - - 0.04983056883903615 - stereotype: single_gripper_arm_robot + - 0.9999999999999973 + stereotype: modular_robot source: local ee_link_name: panda_link8 ik_joint_names: @@ -83,18 +86,43 @@ scene: - panda_joint6 - panda_joint7 init_joint_position: + # panda_joint1: 0.18641542 + # panda_joint2: 0.47660449 + # panda_joint3: -0.03320411 + # panda_joint4: -2.27693725 + # panda_joint5: 0.98161776 + # panda_joint6: 2.20247197 + # panda_joint7: 0.71794897 panda_joint2: -0.1633 panda_joint4: -1.07 panda_joint6: 0.8933 panda_joint7: 0.785 - arm_actuator_name: franka_arm - gripper_actuator_name: robotiq_2f_85 - use_planner: true - planner_cfg: - stereotype: curobo - lazy_init: true - robot_config_file: asset://curobo/franka_robotiq_2f85/franka_robotiq_2f85.yml - world_config_source: stage + arm_modules: + main_arm: + arm_actuator_name: franka_arm + ee_link_name: panda_link8 + ee_type: gripper + ee_actuator_name: robotiq_gripper + actuator_cfg_dict: + franka_arm: + stereotype: arm + joint_names_expr: [panda_joint1, panda_joint2, panda_joint3, panda_joint4, panda_joint5, panda_joint6, panda_joint7] + stiffness: 3000.0 + damping: 800.0 + robotiq_gripper: + stereotype: gripper + joint_names_expr: [robotiq_85_left_knuckle_joint] + stiffness: 10000 + damping: 500.0 + close_control_type: velocity + open_control_type: position + drive_joints: + robotiq_85_left_knuckle_joint: + close_velocity: 5.0 + open_velocity: -5.0 + close_position: 0.8 + open_position: 0.0 + use_planner: false sensor_cfg_dict: Hand_Camera: name: Hand_Camera @@ -108,23 +136,23 @@ scene: camera_model: pinhole fix_camera: true focal_length: 2.8 - horizontal_aperture: 4.890881131191918 + horizontal_aperture: 4.893416860031241 vertical_aperture: 2.7608816125932627 convention: opengl attach_to: - target_name: Franka + target_name: Franka_Robotiq_2f85 is_articulation_part: true articulation_part_name: panda_link8 create_fixed_joint: true local_position: - - -0.07176474936469446 - - 0.02890958100382394 - - 0.01978286477078585 + - -0.07128738160694643 + - 0.03551506300731732 + - 0.018927748370281355 local_rotation: - - 0.12352531576657892 - - 0.7000519980574638 - - -0.6933396337721066 - - -0.11810524383481495 + - -0.12117023430710862 + - -0.6862313269668 + - 0.7070213671685396 + - 0.12052023305019997 Left_Camera: name: Left_Camera stereotype: camera @@ -137,20 +165,20 @@ scene: camera_model: pinhole fix_camera: false focal_length: 2.1 - horizontal_aperture: 5.019302546405283 + horizontal_aperture: 5.030789363390793 vertical_aperture: 2.833796298140747 convention: opengl attach_to: - target_name: Franka + target_name: Franka_Robotiq_2f85 local_position: - - -0.07383269512283744 - - -0.4566116797983716 - - 0.5664518136443555 + - 0.31702696813014064 + - -0.3844238699868664 + - 0.6551552990137672 local_rotation: - - 0.7669289562134721 - - 0.4437472984144337 - - -0.232167881174614 - - -0.4012560108236337 + - 0.8742457685173938 + - 0.38378563025938384 + - -0.11951449178007277 + - -0.27224843891267797 Right_Camera: name: Right_Camera stereotype: camera @@ -163,20 +191,20 @@ scene: camera_model: pinhole fix_camera: false focal_length: 2.1 - horizontal_aperture: 5.053278483887542 + horizontal_aperture: 5.050364265142387 vertical_aperture: 2.833796298140747 convention: opengl attach_to: - target_name: Franka + target_name: Franka_Robotiq_2f85 local_position: - - 0.4501524009531093 - - 0.7206899873248545 - - 0.27525652672526973 + - 0.21844487914880717 + - 0.20172329179193413 + - 0.30108042236545296 local_rotation: - - 0.007056820167439314 - - 0.007107689842383092 - - 0.709606075042274 - - 0.7045274304789896 + - -0.5316249212230874 + - -0.38697158527836417 + - 0.44338617110944967 + - 0.6091277686910994 extension: extension_cfg_dict: @@ -185,9 +213,10 @@ extension: stereotype: data_collect observer_cfgs: - stereotype: robot_observer - name: Franka + name: Franka_Robotiq_2f85 + target_joint_names: [panda_joint1, panda_joint2, panda_joint3, panda_joint4, panda_joint5, panda_joint6, panda_joint7, robotiq_85_left_knuckle_joint] observe_ee_pose: true - observe_gripper_drive_state: true + observe_ee_state: true observe_joint_position: true observe_joint_velocity: true observe_joint_positions: true @@ -210,22 +239,23 @@ extension: stereotype: benchmark data_collector_name: benchmark_data_collect action_frequency: 15.0 - timeout_per_episode: 30 + timeout_per_episode: 300 goals: - name: cola on top of book description: check if the cola bottle is on the book stereotype: on_top - object_A_name: omni6DPose_plug_001 - object_B_name: omni6DPose_can_016 + object_A_name: omni6DPose_book_031 + object_B_name: omni6DPose_timer_017 policy: stereotype: starvla - robot_name: Franka + robot_name: Franka_Robotiq_2f85 + arm_name: main_arm sensor_names: [Hand_Camera, Left_Camera, Right_Camera] - prompt: pick up the can + prompt: pick up the timer and put on the book run_trunk_size: 16 gripper_width_mapper_file: ./gripper_width_robotiq_2f85_fixed.json - visualize_action_ee_pose: false - visualize_state_ee_pose: false + visualize_action_ee_pose: true + visualize_state_ee_pose: true visualize_bounding_box_targets: [] # [omni6DPose_plug_001, omni6DPose_can_016] # 打开会被policy看到,会影响policy的推理结果 recorder: @@ -237,7 +267,10 @@ extension: postprocess_list: ["hdf5", "video"] policy_server: - ckpt_path: checkpoints://0318_qwenpi_droid_pretrain_8node/checkpoints/steps_30000_pytorch_model.pt + # ckpt_path: checkpoints://0324_qwenpi_droid_pretrain_8node/checkpoints/steps_30000_pytorch_model.pt + # ckpt_path: checkpoints://0405_qwenpi_droid_norm_pretrain_8node/checkpoints/steps_60000_pytorch_model.pt + # ckpt_path: checkpoints://0407_qwenpi_droid_postrain/final_model/pytorch_model.pt + ckpt_path: checkpoints://0407_qwenpi_droid_from_scratch/final_model/pytorch_model.pt ckpt_source: local host: 0.0.0.0 port: 5000 diff --git a/benchmark_can.yaml b/benchmark_can.yaml new file mode 100644 index 0000000..eb9e7e3 --- /dev/null +++ b/benchmark_can.yaml @@ -0,0 +1,257 @@ +general: + scan_project: true + root_paths: + asset: /home/ubuntu/xionghao/sim_hofee/sim_hofee/assets + checkpoints: /home/ubuntu/xionghao/starVLA-starVLA/playground/Checkpoints + output: /home/ubuntu/xionghao/sim_hofee + +simulation: + launch_config: + device: cuda + enable_cameras: true + headless: false + livestream: 0 + +scene: + name: kujiale_multispace + base_config: + stereotype: usd + name: _827313_home_workspace_00 + source: local + asset_path: asset://scenes/kujiale_multispace/827313_home/workspace_00.usd + object_cfg_dict: + omni6DPose_can_016: + name: omni6DPose_can_016 + stereotype: rigid + source: local + asset_path: asset://objects/omni6DPose/can/omni6DPose_can_016/Aligned.usd + scale: + - 0.001 + - 0.001 + - 0.001 + position: + - 0.2 + - -4.05243 + - 0.5 + quaternion: + - -0.304408012043137 + - -0.304408012043137 + - 0.638228612805745 + - 0.6382286128057448 + axis_y_up: true + omni6DPose_can_011: + name: omni6DPose_can_011 + stereotype: rigid + source: local + asset_path: asset://objects/omni6DPose/can/omni6DPose_can_011/Aligned.usd + scale: + - 0.001 + - 0.001 + - 0.001 + position: + - 0.219859 + - -3.82430000000001 + - 0.510259093 + quaternion: + - 0.7070997233636068 + - 0.707099723363607 + - 0.003159306745230588 + - 0.003159306745230588 + axis_y_up: true + robot_cfg_dict: + Franka: + name: Franka + asset_path: asset://Franka/franka_robotiq_2f85_zedmini.usd + position: + - -0.3779152929316859 + - -3.943187336951741 + - 0.3130090550954169 + rotation: + - 0.9987576855319703 + - 0.0 + - 0.0 + - 0.04983056883903615 + stereotype: single_gripper_arm_robot + source: local + ee_link_name: panda_link8 + ik_joint_names: + - panda_joint1 + - panda_joint2 + - panda_joint3 + - panda_joint4 + - panda_joint5 + - panda_joint6 + - panda_joint7 + init_joint_position: + panda_joint2: -0.1633 + panda_joint4: -1.07 + panda_joint6: 0.8933 + panda_joint7: 0.785 + # panda_joint1: 0.00201746 + # panda_joint2: -0.25797674 + # panda_joint3: -0.02563748 + # panda_joint4: -1.68997145 + # panda_joint5: -0.0735122 + # panda_joint6: 1.45765436 + # panda_joint7: 0.56564939 + arm_actuator_name: franka_arm + gripper_actuator_name: robotiq_2f_85 + use_planner: true + planner_cfg: + stereotype: curobo + lazy_init: true + robot_config_file: asset://curobo/franka_robotiq_2f85/franka_robotiq_2f85.yml + world_config_source: stage + sensor_cfg_dict: + Hand_Camera: + name: Hand_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: true + focal_length: 2.8 + horizontal_aperture: 4.890881131191918 + vertical_aperture: 2.7608816125932627 + convention: opengl + attach_to: + target_name: Franka + is_articulation_part: true + articulation_part_name: panda_link8 + create_fixed_joint: true + local_position: + - -0.07176474936469446 + - 0.02890958100382394 + - 0.01978286477078585 + local_rotation: + - 0.12352531576657892 + - 0.7000519980574638 + - -0.6933396337721066 + - -0.11810524383481495 + Left_Camera: + name: Left_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: false + focal_length: 2.1 + horizontal_aperture: 5.019302546405283 + vertical_aperture: 2.833796298140747 + convention: opengl + attach_to: + target_name: Franka + local_position: + - -0.07383269512283744 + - -0.4566116797983716 + - 0.5664518136443555 + local_rotation: + - 0.7669289562134721 + - 0.4437472984144337 + - -0.232167881174614 + - -0.4012560108236337 + Right_Camera: + name: Right_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: false + focal_length: 2.1 + horizontal_aperture: 5.053278483887542 + vertical_aperture: 2.833796298140747 + convention: opengl + attach_to: + target_name: Franka + local_position: + - 0.4501524009531093 + - 0.7206899873248545 + - 0.27525652672526973 + local_rotation: + - 0.007056820167439314 + - 0.007107689842383092 + - 0.709606075042274 + - 0.7045274304789896 + +extension: + extension_cfg_dict: + benchmark_data_collect: + enable: true + stereotype: data_collect + observer_cfgs: + - stereotype: robot_observer + name: Franka + target_joint_names: [panda_joint1, panda_joint2, panda_joint3, panda_joint4, panda_joint5, panda_joint6, panda_joint7] + observe_ee_pose: true + observe_gripper_drive_state: true + observe_joint_position: true + observe_joint_velocity: true + observe_joint_positions: true + observe_joint_velocities: true + observe_joint_accelerations: true + observe_joint_position_targets: true + observe_joint_velocity_targets: true + - stereotype: sensor_observer + name: Hand_Camera + observe_rgb: true + - stereotype: sensor_observer + name: Left_Camera + observe_rgb: true + - stereotype: sensor_observer + name: Right_Camera + observe_rgb: true + + starvla_benchmark: + enable: true + stereotype: benchmark + data_collector_name: benchmark_data_collect + action_frequency: 15.0 + timeout_per_episode: 300 + goals: + - name: cola on top of book + description: check if the cola bottle is on the book + stereotype: on_top + object_A_name: omni6DPose_can_016 + object_B_name: omni6DPose_can_011 + policy: + stereotype: starvla + robot_name: Franka + sensor_names: [Hand_Camera, Left_Camera, Right_Camera] + prompt: pick up the red can on the table + run_trunk_size: 16 + gripper_width_mapper_file: ./gripper_width_robotiq_2f85_fixed.json + visualize_action_ee_pose: false + visualize_state_ee_pose: false + visualize_bounding_box_targets: [] # [omni6DPose_plug_001, omni6DPose_can_016] # 打开会被policy看到,会影响policy的推理结果 + + recorder: + enable: true # set to true to record the data + stereotype: record + data_collector_name: benchmark_data_collect + record_fps: 30 + backend_root_path: output://benchmark_record + postprocess_list: ["hdf5", "video"] + +policy_server: + # ckpt_path: checkpoints://0324_qwenpi_droid_pretrain_8node/checkpoints/steps_30000_pytorch_model.pt + # ckpt_path: checkpoints://0401_qwenpi_droid_pretrain_8node/checkpoints/steps_20000_pytorch_model.p + ckpt_path: checkpoints://0405_qwenpi_droid_norm_pretrain_8node/checkpoints/steps_60000_pytorch_model.pt + # ckpt_path: checkpoints://0407_qwenpi_droid_postrain/checkpoints/steps_10000_pytorch_model.pt + ckpt_source: local + host: 0.0.0.0 + port: 5000 + use_bf16: true + unnorm_key: oxe_bridge + state_mode: ee_pose7 \ No newline at end of file diff --git a/starvla_inference_server.py b/starvla_inference_server.py index a91acea..6d6f6d0 100644 --- a/starvla_inference_server.py +++ b/starvla_inference_server.py @@ -12,6 +12,14 @@ import cv2 from flask import Flask, request, Response from PIL import Image +def pad_to_dim(x: np.ndarray, target_dim: int, axis: int = -1, value: float = 0.0) -> np.ndarray: + """Pad an array to the target dimension with zeros along the specified axis.""" + current_dim = x.shape[axis] + if current_dim < target_dim: + pad_width = [(0, 0)] * len(x.shape) + pad_width[axis] = (0, target_dim - current_dim) + return np.pad(x, pad_width, constant_values=value) + return x class StarvlaInferenceServer: @@ -19,7 +27,7 @@ class StarvlaInferenceServer: with open(config_path, "r") as f: cfg = yaml.safe_load(f) - + policy_server_cfg = cfg["policy_server"] root_paths = cfg["general"]["root_paths"] self.ckpt_source = policy_server_cfg["ckpt_source"] @@ -88,14 +96,15 @@ class StarvlaInferenceServer: img_wrist = Image.fromarray(cv2.resize(wrist_rgb, target_size)) state_vec = obs["state"] - + # import ipdb;ipdb.set_trace() + # state_vec = pad_to_dim(np.array(state_vec), 100, axis=-1) return img_left, img_right, img_wrist, state_vec, obs["prompt"] def inference(self, observation: dict) -> dict: - + img_left, img_right, img_wrist, state_vec, prompt = \ self.parse_observation(observation) - + print(f"{state_vec.shape}") vla_input = { "batch_images": [[img_left, img_right, img_wrist]], "instructions": [prompt], diff --git a/starvla_inference_server_unnorm.py b/starvla_inference_server_unnorm.py new file mode 100644 index 0000000..6edccfb --- /dev/null +++ b/starvla_inference_server_unnorm.py @@ -0,0 +1,257 @@ + +import yaml +import pickle +import argparse +import os +import traceback +from urllib.parse import urlparse +import numpy as np +import torch +import cv2 +import json +from flask import Flask, request, Response +from PIL import Image +from pathlib import Path + + +def pad_to_dim(x: np.ndarray, target_dim: int, axis: int = -1, value: float = 0.0) -> np.ndarray: + """Pad an array to the target dimension with zeros along the specified axis.""" + current_dim = x.shape[axis] + if current_dim < target_dim: + pad_width = [(0, 0)] * len(x.shape) + pad_width[axis] = (0, target_dim - current_dim) + return np.pad(x, pad_width, constant_values=value) + return x + +def normalize_eepose_state(raw_state, stats, start_idx, norm_len=3): + """ + 根据统计信息对原始动作的特定切片进行归一化 (Normalize),映射到 [-1.0, 1.0] 区间 + + :param raw_action: 包含原始动作的 numpy 数组,形状通常为 (batch_size, action_dim) + :param stats: 归一化所需的统计信息字典 (包含 'q01' 和 'q99') + :param start_idx: 需要归一化的特征在 action 向量中的起始索引 + :param norm_len: 需要归一化的特征长度,默认为 3 (如 xyz 坐标) + :return: 归一化后的动作数组 (返回新数组,不修改原数组) + """ + # 1. 提取并截取对应的 q01 和 q99,保持 float16 精度对齐 + q01 = np.array(stats["q01"][start_idx : start_idx + norm_len], dtype=np.float16) + q99 = np.array(stats["q99"][start_idx : start_idx + norm_len], dtype=np.float16) + + # 2. 计算分母 denom,防除零保护 + denom = np.clip(q99 - q01, a_min=1e-5, a_max=None) + + # 3. 定位切片 + target_slice = slice(start_idx, start_idx + norm_len) + + # 4. 复制一份以防污染原始数据矩阵 + norm_state = raw_state.copy() + x = norm_state[:, target_slice] + + # 5. 执行正向映射计算:y = 2 * (x - q01) / denom - 1 + y = 2.0 * (x - q01) / denom - 1.0 + + # 6. 核心操作:截断到 [-1.0, 1.0] 区间,防止输入给模型的动作越界 + norm_state[:, target_slice] = np.clip(y, -1.0, 1.0) + + return norm_state + +def unnormalize_eepose_action(normalized_action, stats, start_idx, norm_len=3): + """ + 读取统计信息 JSON 并对动作的特定切片进行反归一化 (Un-normalize) + + :param normalized_action: 包含归一化动作的 numpy 数组,形状通常为 (batch_size, action_dim) + :param stats: 反归一化所需的统计信息,通常是从 JSON 文件中读取的字典 + :param start_idx: 需要反归一化的特征在 action 向量中的起始索引 (即原代码中的 start) + :param norm_len: 需要反归一化的特征长度,默认为 3 (如 xyz 坐标) + :return: 反归一化后的动作数组 (返回新数组,不修改原数组) + """ + + # 2. 提取并截取对应的 q01 和 q99 + # 注意:为了和原归一化精度对齐,这里继续保持 float16 + # import ipdb;ipdb.set_trace() + q01 = np.array(stats["q01"][start_idx : start_idx + norm_len], dtype=np.float16) + q99 = np.array(stats["q99"][start_idx : start_idx + norm_len], dtype=np.float16) + + # 3. 计算分母 denom,保持和原来完全相同的裁剪逻辑防除零 + denom = np.clip(q99 - q01, a_min=1e-5, a_max=None) + + # 4. 定位切片 + target_slice = slice(start_idx, start_idx + norm_len) + + # 5. 执行反向计算:x = (y + 1) / 2 * denom + q01 + # 复制一份以防污染原始的 normalized_action 矩阵 + unnorm_action = normalized_action.copy() + y = unnorm_action[:, target_slice] + unnorm_action[:, target_slice] = (y + 1.0) / 2.0 * denom + q01 + + return unnorm_action + +class StarvlaInferenceServer: + + def __init__(self, config_path: str): + + with open(config_path, "r") as f: + cfg = yaml.safe_load(f) + # import ipdb;ipdb.set_trace() + policy_server_cfg = cfg["policy_server"] + root_paths = cfg["general"]["root_paths"] + self.ckpt_source = policy_server_cfg["ckpt_source"] + self.ckpt_path = self._resolve_ckpt_path( + ckpt_url=policy_server_cfg["ckpt_path"], + root_paths=root_paths, + ) + self.rel_eepose_stats = self.read_rel_eepose_stats() + self.host = policy_server_cfg.get("host", "0.0.0.0") + self.port = policy_server_cfg.get("port", 5000) + self.use_bf16 = policy_server_cfg.get("use_bf16", True) + self.unnorm_key = policy_server_cfg.get("unnorm_key", "oxe_bridge") + self.state_mode = policy_server_cfg.get("state_mode", "ee_pose7") + + print("Loading StarVLA model...") + self.model = self.load_model() + print("Model loaded.") + + self.app = Flask(__name__) + self.register_routes() + + @staticmethod + def _resolve_ckpt_path(ckpt_url: str, root_paths: dict) -> str: + parsed = urlparse(ckpt_url) + if not parsed.scheme: + return ckpt_url + root = root_paths.get(parsed.scheme) + if not root: + raise KeyError( + f"cannot find the checkpoint root path in root_paths: {root_paths}" + ) + rel = (parsed.netloc + parsed.path).lstrip("/") + return os.path.join(root, rel) + + def read_rel_eepose_stats(self): + stats_path = Path(self.ckpt_path).parents[1] / "action_delta_eepose_stats.json" + if stats_path is None or not Path(stats_path).exists(): + return {} + with open(stats_path, 'r', encoding='utf-8') as f: + stats = json.load(f) + return stats + + def load_model(self): + + from starVLA.model.framework.share_tools import read_mode_config, dict_to_namespace + from starVLA.model.framework.__init__ import build_framework + + model_config, norm_stats = read_mode_config(self.ckpt_path) + + cfg = dict_to_namespace(model_config) + cfg.trainer.pretrained_checkpoint = None + + model = build_framework(cfg=cfg) + model.norm_stats = norm_stats + + state_dict = torch.load(self.ckpt_path, map_location="cpu") + model.load_state_dict(state_dict, strict=True) + + if self.use_bf16: + model = model.to(torch.bfloat16) + + model = model.to("cuda").eval() + + self.norm_stats = norm_stats + self.action_norm_stats = norm_stats.get(self.unnorm_key, {}).get("action", None) + + return model + + def parse_observation(self, obs, target_size=(320, 180)): + + left_rgb, right_rgb, wrist_rgb = obs["rgb"]["Left_Camera"], obs["rgb"]["Right_Camera"], obs["rgb"]["Hand_Camera"] + + img_left = Image.fromarray(cv2.resize(left_rgb, target_size)) + img_right = Image.fromarray(cv2.resize(right_rgb, target_size)) + img_wrist = Image.fromarray(cv2.resize(wrist_rgb, target_size)) + + state_vec = obs["state"] #[:10] + # import ipdb;ipdb.set_trace() + state_vec = pad_to_dim(np.array(state_vec), 100, axis=-1) + return img_left, img_right, img_wrist, state_vec, obs["prompt"] + + def inference(self, observation: dict) -> dict: + + img_left, img_right, img_wrist, state_vec, prompt = \ + self.parse_observation(observation) + print(f"{state_vec.shape}") + vla_input = { + "batch_images": [[img_left, img_right, img_wrist]], + "instructions": [prompt], + "state": [state_vec] + } + # import ipdb;ipdb.set_trace() + with torch.no_grad(): + output = self.model.predict_action(**vla_input) + + actions = output.get("normalized_actions") + + if isinstance(actions, torch.Tensor): + actions = actions.cpu().numpy() + + if actions.ndim == 3: + actions = actions[0] # (16, 10) + # import ipdb;ipdb.set_trace() + # 反归一化特定切片 (假设需要反归一化的部分是 action 向量中的第 0-8 维,即 ee_pose7 + gripper_width) + actions[:, :3] = unnormalize_eepose_action(actions[:, :3], self.rel_eepose_stats, start_idx=0, norm_len=3) + # from ipdb import set_trace; set_trace() + return {"ee_delta_position_chunks": actions[:, :3].tolist(), + "ee_delta_rot6d_chunks": actions[:, 3:9].tolist(), + "gripper_width_chunks": actions[:, 9:10].tolist()} + + def register_routes(self): + + @self.app.route("/policy/inference", methods=["POST"]) + def policy(): + try: + data = pickle.loads(request.data) + result = self.inference(data) + body = pickle.dumps(result, protocol=4) + return Response(body, mimetype="application/octet-stream") + except Exception as e: + err_obj = { + "error": str(e), + "traceback": traceback.format_exc(), + } + body = pickle.dumps(err_obj, protocol=4) + return Response( + body, + mimetype="application/octet-stream", + status=500, + ) + @self.app.route("/policy/health", methods=["GET"]) + def health(): + if self.model is None: + return Response("Failed to load model", mimetype="application/json", status=500) + return Response("OK", mimetype="application/json") + + def run(self): + + print("StarVLA policy server running") + print(f"Host: {self.host}") + print(f"Port: {self.port}") + + self.app.run( + host=self.host, + port=self.port, + threaded=True + ) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="StarVLA inference server") + parser.add_argument( + "--config", + type=str, + default="./benchmark.yaml", + help="Path to benchmark.yaml", + ) + args = parser.parse_args() + + config_path = args.config + server = StarvlaInferenceServer(config_path) + server.run() \ No newline at end of file diff --git a/starvla_policy.py b/starvla_policy.py index 0f4c85a..32480eb 100644 --- a/starvla_policy.py +++ b/starvla_policy.py @@ -8,8 +8,9 @@ from joysim.annotations.config_class import configclass, field from joysim.annotations.stereotype import stereotype from joysim.controllers.spawnable_controller import SpawnableController from joysim.controllers.visualize_controller import VisualizeController +from joysim.unisim.robots.models.modular_robot import ModularRobot from joysim.utils.namespace import PoseVisualType, SimulatorType -from joysim.unisim.robots.configs.actuator_configs.grippers import GripperDriveJointConfig +from joysim.unisim.robots.actuator_configs.grippers import GripperDriveJointConfig from joysim.extensions.benchmark.action import RobotAction from joysim.extensions.benchmark.benchmark import ( BenchmarkAction, @@ -25,6 +26,8 @@ from joysim.utils.pose import Pose class StarvlaPolicyConfig(PolicyConfig): robot_name: str = field(default="None", required=True, comment="The name of the robot") + arm_name: str = field(default="main_arm", required=True, comment="The name of the arm module to control") + drive_name: str = field(default="robotiq_85_left_knuckle_joint", required=True, comment="The name of the drive module to control") gripper_width_mapper_file: str = field(default="", required=True, comment="The file path to the gripper width mapper") visualize_action_ee_pose: bool = field(default=False, required=True, comment="Whether to visualize the action end effector pose") visualize_state_ee_pose: bool = field(default=False, required=True, comment="Whether to visualize the state end effector pose") @@ -64,6 +67,8 @@ class StarvlaPolicy(Policy): super().__init__(config) self.robot_name = config.robot_name + self.arm_name = config.arm_name + self.drive_name = config.drive_name self.sensor_names = config.sensor_names self.server_url = config.server_url self.prompt = config.prompt @@ -79,11 +84,15 @@ class StarvlaPolicy(Policy): self.current_chunk_id = 0 self.current_chunk_result = None self.run_trunk_size = self.config.run_trunk_size - self.drive_joints: dict[str, GripperDriveJointConfig] = SpawnableController.control_robot(self.robot_name, "get_gripper_drive_joints").unwrap() + self.robot: ModularRobot = SpawnableController.get_spawnable_data(self.robot_name).unwrap() + self.drive_joints: dict[str, GripperDriveJointConfig] = self.robot.get_arm(self.arm_name).get_ee().get_drive_joints() + self.robot_drive_name = list(self.drive_joints.keys())[0] + for joint_name, joint_config in self.drive_joints.items(): SpawnableController.control_robot(self.robot_name, "set_joint_stiffness", parameters={"joint_names": [joint_name], "stiffness": joint_config.position_control_stiffness}).unwrap() SpawnableController.control_robot(self.robot_name, "set_joint_damping", parameters={"joint_names": [joint_name], "damping": joint_config.position_control_damping}).unwrap() - SpawnableController.control_robot(self.robot_name, "set_joint_effort_limit", parameters={"joint_names": [joint_name], "effort_limit": 50}).unwrap() + SpawnableController.control_robot(self.robot_name, "set_joint_effort_limit", parameters={"joint_names": [joint_name], "effort_limit": 5000}).unwrap() + SpawnableController.control_robot(self.robot_name, "set_joint_effort_limit", parameters={"joint_names": [self.robot_drive_name], "effort_limit": 5000}).unwrap() self.max_width = float("-inf") self.min_width = float("inf") for entry in self.gripper_width_mapper: @@ -113,11 +122,13 @@ class StarvlaPolicy(Policy): def preprocess_observation(self, benchmark_observation: BenchmarkObservation) -> dict: robot_obs = benchmark_observation.get_robot_observations(self.robot_name)["robot_data"] - ee_pose_base = robot_obs["ee_pose"]["base_frame"] + ee_pose_base = robot_obs["ee_pose"][self.arm_name]["base_frame"] ee_position, ee_rot6d = ee_pose_base["position"],ee_pose_base["rot6d"] - normalized_gripper_width = self.__map_joint_position_to_normalized_width(robot_obs["gripper_drive_state"]["position"][0]) + arm_joint_positions = robot_obs["joint_positions"][:7] # 临时多加了一个drive的位置,现在读的最后一个joint值是drive + drive_joint_positions = robot_obs["joint_positions"][-1] + normalized_gripper_width = self.__map_joint_position_to_normalized_width(drive_joint_positions) Log.debug(f"input normalized_gripper_width state: {round(normalized_gripper_width, 2)}") - state = np.concatenate([ee_position,ee_rot6d,np.array([normalized_gripper_width])]) + state = np.concatenate([ee_position,ee_rot6d,np.array([normalized_gripper_width]), [0]*10, np.array(arm_joint_positions)]) rgb_data = {} for sensor_name in self.sensor_names: sensor_obs = benchmark_observation.get_sensor_observations(sensor_name) @@ -137,6 +148,7 @@ class StarvlaPolicy(Policy): data=payload, headers={"Content-Type": "application/octet-stream"} ) + self.test_obs = observation["state"] #TODO self._handle_server_error(response) result = pickle.loads(response.content) max_trunk_size = len(result["ee_delta_position_chunks"]) @@ -176,7 +188,9 @@ class StarvlaPolicy(Policy): def postprocess_action(self, action: dict) -> BenchmarkAction: benchmark_action = BenchmarkAction() - + Log.debug(f"observation: {self.test_obs}") + # import ipdb;ipdb.set_trace() + # get base frame end-effector pose delta_ee_pose = Pose(position=action["ee_delta_position_chunks"][self.current_chunk_id], rot6d=action["ee_delta_rot6d_chunks"][self.current_chunk_id]) curr_state_ee_pose = Pose(position=self.current_ee_position_state, rot6d=self.current_ee_rot6d_state) @@ -221,7 +235,7 @@ class StarvlaPolicy(Policy): VisualizeController.create_pose_visualization( robot_base_world * pose_state_base, name=f"{self.robot_name}/starvla_state_ee", - simulator=SimulatorType.ISAACSIM, + simulator=SimulatorType.ISAACLAB, pose_type=PoseVisualType.COORDINATE, extra_params={"axis_length": 0.08, "thickness": 0.006}, ).unwrap() @@ -229,7 +243,7 @@ class StarvlaPolicy(Policy): VisualizeController.create_pose_visualization( robot_base_world * pose_action_base, name=f"{self.robot_name}/starvla_action_ee", - simulator=SimulatorType.ISAACSIM, + simulator=SimulatorType.ISAACLAB, pose_type=PoseVisualType.COORDINATE, extra_params={"axis_length": 0.1, "thickness": 0.006}, ).unwrap() @@ -239,5 +253,5 @@ class StarvlaPolicy(Policy): return for target_name in self.visualize_bounding_box_targets: VisualizeController.visualize_target_bounding_box( - target_name, simulator=SimulatorType.ISAACSIM + target_name, simulator=SimulatorType.ISAACLAB ).unwrap() \ No newline at end of file diff --git a/task.yaml b/task.yaml new file mode 100644 index 0000000..5759d66 --- /dev/null +++ b/task.yaml @@ -0,0 +1,5312 @@ +general: + root_paths: + asset: /data/workspace/luoly/code/TaskGen/data + output: output:// +simulation: + intiailize_steps: 120 + launch_config: + device: cuda + enable_cameras: true + headless: false + livestream: 0 +scene: + name: 827313_home + base_config: + stereotype: usd + name: _827313_home_workspace_01 + source: local + asset_path: asset://scenes/kujiale_multispace/827313_home/workspace_01.usd + object_cfg_dict: + omni6DPose_timer_017: + name: omni6DPose_timer_017 + stereotype: rigid + source: local + asset_path: asset://objects/omni6DPose/timer/omni6DPose_timer_017/Aligned.usd + scale: + - 0.001 + - 0.001 + - 0.001 + position: + - 0.602364 + - -4.0682599999999995 + - 0.524713118 + quaternion: + - 0.166210542394157 + - 0.166210542394157 + - 0.6872947370648492 + - 0.6872947370648491 + axis_y_up: true + omni6DPose_book_031: + name: omni6DPose_book_031 + stereotype: rigid + source: local + asset_path: asset://objects/omni6DPose/book/omni6DPose_book_031/Aligned.usd + scale: + - 0.001 + - 0.001 + - 0.001 + position: + - 0.6623640000000001 + - -3.7882599999999997 + - 0.5101601435 + quaternion: + - 0.7063055546421202 + - 0.7063055546421203 + - -0.03365209475927027 + - -0.033652094759270265 + axis_y_up: true + robot_cfg_dict: + Franka_Robotiq_2f85: + name: Franka_Robotiq_2f85 + asset_path: asset://Franka/franka_robotiq_2f85_zedmini.usd + position: + - 1.082364 + - -3.92826 + - 0.47629299999999997 + rotation: + - 7.549799991308018e-08 + - 0.0 + - 0.0 + - 0.9999999999999973 + stereotype: single_gripper_arm_robot + source: local + init_joint_position: + panda_joint2: -0.1633 + panda_joint4: -1.07 + panda_joint6: 0.8933 + panda_joint7: 0.785 + arm_actuator_name: franka_arm + gripper_actuator_name: robotiq_2f_85 + ee_link_name: gripper_center + use_planner: true + planner_cfg: + stereotype: curobo + lazy_init: true + robot_config_file: asset://curobo/franka_robotiq_2f85/franka_robotiq_2f85.yml + world_config_source: stage + sensor_cfg_dict: + Hand_Camera: + name: Hand_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: true + focal_length: 2.8 + horizontal_aperture: 4.893416860031241 + vertical_aperture: 2.7608816125932627 + convention: opengl + attach_to: + target_name: Franka_Robotiq_2f85 + is_articulation_part: true + articulation_part_name: panda_link8 + create_fixed_joint: true + local_position: + - -0.07128738160694643 + - 0.03551506300731732 + - 0.018927748370281355 + local_rotation: + - -0.12117023430710862 + - -0.6862313269668 + - 0.7070213671685396 + - 0.12052023305019997 + Left_Camera: + name: Left_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: false + focal_length: 2.1 + horizontal_aperture: 5.030789363390793 + vertical_aperture: 2.833796298140747 + convention: opengl + attach_to: + target_name: Franka_Robotiq_2f85 + local_position: + - 0.31702696813014064 + - -0.3844238699868664 + - 0.6551552990137672 + local_rotation: + - 0.8742457685173938 + - 0.38378563025938384 + - -0.11951449178007277 + - -0.27224843891267797 + Right_Camera: + name: Right_Camera + stereotype: camera + data_types: + - rgb + - depth + - normals + width: 1280 + height: 720 + camera_model: pinhole + fix_camera: false + focal_length: 2.1 + horizontal_aperture: 5.050364265142387 + vertical_aperture: 2.833796298140747 + convention: opengl + attach_to: + target_name: Franka_Robotiq_2f85 + local_position: + - 0.21844487914880717 + - 0.20172329179193413 + - 0.30108042236545296 + local_rotation: + - -0.5316249212230874 + - -0.38697158527836417 + - 0.44338617110944967 + - 0.6091277686910994 +task: + name: random_single_pick_place_001999 + description: 'Franka_Robotiq_2f85 executes stages: pick(gripper->omni6DPose_timer_017), + place(omni6DPose_timer_017->omni6DPose_book_031)' + actions: + - name: open_gripper_action + stereotype: release + description: open gripper action + robot_name: Franka_Robotiq_2f85 + ee_type: gripper + release_timeout: 60.0 + - name: pick_action_00 + ee_timeout: 60.0 + stereotype: pick + description: Pick up omni6DPose_timer_017 + pick_up_distance: 0.03 + robot_name: Franka_Robotiq_2f85 + target_name: omni6DPose_timer_017 + pose_source: inline + pose_data: + grasp_0: + position: + - 0.0038685856922695133 + - 0.004466852553715234 + - -0.03531195040680468 + rotation_matrix: + - - 0.10401858389377594 + - -0.9938283562660217 + - -0.038540683686733246 + - - 0.09528955817222595 + - 0.04853108897805214 + - -0.9942658543586731 + - - 0.9900000095367432 + - 0.0997496023774147 + - 0.0997496023774147 + grasp_1: + position: + - -0.0038414330831936733 + - 0.008453966558471693 + - 0.03487375447116792 + rotation_matrix: + - - 0.004352654330432415 + - 0.9999740719795227 + - 0.00573710398748517 + - - 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true + observe_rotation: true + observe_ee_pose: true + observe_gripper_state: true + observe_gripper_drive_state: true + - stereotype: task_observer + name: task + - stereotype: object_observer + name: omni6DPose_timer_017 + observe_position: true + observe_rotation: true + observe_scale: true + - stereotype: object_observer + name: omni6DPose_book_031 + observe_position: true + observe_rotation: true + observe_scale: true + - stereotype: sensor_observer + name: Hand_Camera + observe_intrinsic_matrix: true + observe_extrinsic_matrix: true + observe_rgb: true + observe_depth: true + observe_normals: true + - stereotype: sensor_observer + name: Left_Camera + observe_intrinsic_matrix: true + observe_extrinsic_matrix: true + observe_rgb: true + observe_depth: true + observe_normals: true + - stereotype: sensor_observer + name: Right_Camera + observe_intrinsic_matrix: true + observe_extrinsic_matrix: true + observe_rgb: true + observe_depth: true + observe_normals: true + record: + enable: true + stereotype: record + backend_root_path: output:// + postprocess_list: + - hdf5 + - video + - png_depth + - preview_video + record_task_summary: true