Merge "Update y2022 configs to be multi-node"
diff --git a/y2020/vision/tools/python_code/camera_definition.py b/y2020/vision/tools/python_code/camera_definition.py
index 465f7bd..3e3623d 100644
--- a/y2020/vision/tools/python_code/camera_definition.py
+++ b/y2020/vision/tools/python_code/camera_definition.py
@@ -147,8 +147,8 @@
dist_coeffs = np.asarray(calib_dict["dist_coeffs"]).reshape(
(1, 5))
- glog.info("Found calib for " + node_name + ", team #" +
- str(team_number))
+ glog.debug("Found calib for " + node_name + ", team #" +
+ str(team_number))
camera_params = CameraParameters()
camera_params.camera_ext, camera_params.turret_ext = compute_extrinsic_by_pi(
diff --git a/y2020/vision/tools/python_code/target_definition.py b/y2020/vision/tools/python_code/target_definition.py
index e518c8c..8d1c601 100644
--- a/y2020/vision/tools/python_code/target_definition.py
+++ b/y2020/vision/tools/python_code/target_definition.py
@@ -5,6 +5,7 @@
import json
import math
import numpy as np
+import os
import camera_definition
import define_training_data as dtd
@@ -153,7 +154,10 @@
# otherwise get them directly from the training targets.
for target in (ideal_target_list
if AUTO_PROJECTION else training_target_list):
- glog.debug("\nPreparing target for image %s" % target.image_filename)
+ # TODO<Jim>: Save this info to flatbuffer and publish on start
+ # And then, make this debug message again
+ glog.debug("\nPreparing target for image %s" %
+ os.path.basename(target.image_filename))
target.extract_features(feature_extractor)
target.filter_keypoints_by_polygons()
target.compute_reprojection_maps()