array([[0, 0, 1]]) root_quat_init = qbetween_np(forward_init, target) root_quat_init = np.ones(positions.shape[:-1] + (4,)) * root_quat_init positions_b = positions.copy() positions = qrot_np(root_quat_init, positions) # plot_3d_motion("./positions_2.mp4", kinematic_...
bounds = [(-inf, inf), (array([4.61883478e-06]), array([4.61887937]))] The following MWE gives the same ValueError: import numpy as np from scipy.optimize import minimize, rosen x0 = np.array([0.01036698, 0.46188348]) bounds = [(-np.inf, np.inf), (np.array([4.61883478e-06]), ...
(-1)) File "C:\Users\alienware\webapps\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 7431, in reshape "Reshape", tensor=tensor, shape=shape, name=name) File "C:\Users\alienware\webapps\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in ...
def coord_to_grid(dataset, location_array): """ 地理坐标转栅格坐标 Args: dataset: gdal获取的影像数据集 location_array: 待转换的地理坐标列表 array[[lng, lat], ... []] Return: res_arr: shape与location_array对应的栅格坐标列表 array[[raw, col], ... []] """ poi_num = location_arra...
"jax.tree_map(lambda x: x.shape, params_reinit)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "FrozenDict({\n", " embedding: DeviceArray([[ 0.00582082, -0.04113895, 0.00918633, ..., -0.00530822,\n", "...