Variables
plot_depth_error Namespace Reference

Variables

list csv_files = sys.argv[1:]
tuple err_mean = np.mean(errs, axis=0)
tuple err_stddev = np.std(errs, axis=0)
list errs = [a - b for (a, b) in zip(true_depths, observed_depths)]
list es = []
string label = "{0} x + {1}"
tuple line_y_ransac = model_ransac.predict(X)
tuple model_ransac
tuple observed_mean = np.mean(observed_depths)
tuple reader = csv.reader(f)
tuple true_mean = np.mean(true_depths)
tuple X = np.array(xs)
list xs = []
tuple Y = np.array(es)
list ys = []

Variable Documentation

Definition at line 11 of file plot_depth_error.py.

tuple plot_depth_error::err_mean = np.mean(errs, axis=0)

Definition at line 22 of file plot_depth_error.py.

tuple plot_depth_error::err_stddev = np.std(errs, axis=0)

Definition at line 23 of file plot_depth_error.py.

list plot_depth_error::errs = [a - b for (a, b) in zip(true_depths, observed_depths)]

Definition at line 19 of file plot_depth_error.py.

Definition at line 14 of file plot_depth_error.py.

Definition at line 37 of file plot_depth_error.py.

tuple plot_depth_error::line_y_ransac = model_ransac.predict(X)

Definition at line 35 of file plot_depth_error.py.

Initial value:
00001 linear_model.RANSACRegressor(linear_model.LinearRegression(), min_samples=2,
00002                                                 residual_threshold=0.1)

Definition at line 30 of file plot_depth_error.py.

tuple plot_depth_error::observed_mean = np.mean(observed_depths)

Definition at line 21 of file plot_depth_error.py.

Definition at line 17 of file plot_depth_error.py.

tuple plot_depth_error::true_mean = np.mean(true_depths)

Definition at line 20 of file plot_depth_error.py.

tuple plot_depth_error::X = np.array(xs)

Definition at line 32 of file plot_depth_error.py.

Definition at line 12 of file plot_depth_error.py.

tuple plot_depth_error::Y = np.array(es)

Definition at line 33 of file plot_depth_error.py.

Definition at line 13 of file plot_depth_error.py.



jsk_pcl_ros
Author(s): Yohei Kakiuchi
autogenerated on Tue Jul 2 2019 19:41:47