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IVALab Python Libraries
Collection of code for computer vision and robotics with specific API.
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Classes | |
| class | ParamRunner |
| class | RealSolver |
Variables | |
| call_back_id = int(os.path.basename(npy_file)[:4]) | |
| configs_puzzleSolver | |
| hTracker_BEV = np.load(f, allow_pickle=True) | |
| npy_file_list = glob.glob(os.path.join(target_folder, '*.npy')) | |
| plan = puzzleSolver.process(postImg, visibleMask, hTracker_BEV) | |
| postImg = cv2.imread(os.path.join(target_folder, f'{str(call_back_id).zfill(4)}_puzzle.png')) | |
| int | puzzle_solver_mode = 2 |
| string | puzzle_solver_SolBoard = '../../Surveillance/Surveillance/deployment/ROS/caliSolBoard.obj' |
| puzzleSolver = RealSolver(configs_puzzleSolver) | |
| string | target_folder = '../../Surveillance/Surveillance/deployment/ROS/tangled_1_work' |
| thePercent = puzzleSolver.progress(USE_MEASURED=False) | |
| bool | verbose = False |
| visibleMask = cv2.imread(os.path.join(target_folder, f'{str(call_back_id).zfill(4)}_visibleMask.png'), -1) | |
| call_back_id = int(os.path.basename(npy_file)[:4]) |
| configs_puzzleSolver |
| hTracker_BEV = np.load(f, allow_pickle=True) |
| npy_file_list = glob.glob(os.path.join(target_folder, '*.npy')) |
| plan = puzzleSolver.process(postImg, visibleMask, hTracker_BEV) |
| postImg = cv2.imread(os.path.join(target_folder, f'{str(call_back_id).zfill(4)}_puzzle.png')) |
| int puzzle_solver_mode = 2 |
| string puzzle_solver_SolBoard = '../../Surveillance/Surveillance/deployment/ROS/caliSolBoard.obj' |
| puzzleSolver = RealSolver(configs_puzzleSolver) |
| string target_folder = '../../Surveillance/Surveillance/deployment/ROS/tangled_1_work' |
| thePercent = puzzleSolver.progress(USE_MEASURED=False) |
| bool verbose = False |
| visibleMask = cv2.imread(os.path.join(target_folder, f'{str(call_back_id).zfill(4)}_visibleMask.png'), -1) |