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bf7c571d
编写于
4月 06, 2018
作者:
L
Liangliang Zhang
提交者:
Jiaming Tao
4月 06, 2018
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电子邮件补丁
差异文件
Perception: removed old config files for lane post process and probabilistic fusion.
上级
200fda09
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
0 addition
and
294 deletion
+0
-294
modules/perception/conf/config_manager.config
modules/perception/conf/config_manager.config
+0
-2
modules/perception/model/camera/lane_post_process.config
modules/perception/model/camera/lane_post_process.config
+0
-240
modules/perception/model/probabilistic_fusion.config
modules/perception/model/probabilistic_fusion.config
+0
-52
未找到文件。
modules/perception/conf/config_manager.config
浏览文件 @
bf7c571d
...
...
@@ -2,7 +2,6 @@ model_config_path: "model/tracker.config"
model_config_path
:
"model/cnn_segmentation.config"
model_config_path
:
"model/hdmap_roi_filter.config"
model_config_path
:
"model/modest_radar_detector.config"
model_config_path
:
"model/probabilistic_fusion.config"
model_config_path
:
"model/async_fusion.config"
model_config_path
:
"model/sequence_type_fuser.config"
model_config_path
:
"model/traffic_light/multi_camera_projection.config"
...
...
@@ -13,4 +12,3 @@ model_config_path: "model/traffic_light/preprocessor.config"
model_config_path
:
"model/traffic_light/subnodes.config"
model_config_path
:
"model/camera/yolo_camera_detector.config"
model_config_path
:
"model/camera/geometry_camera_converter.config"
model_config_path
:
"model/camera/lane_post_process.config"
modules/perception/model/camera/lane_post_process.config
已删除
100644 → 0
浏览文件 @
200fda09
model_configs
{
name
:
"CCLanePostProcessor"
version
:
"0.1.0"
string_params
{
name
:
"space_type"
value
:
"vehicle"
}
integer_params
{
name
:
"image_width"
value
:
1920
}
integer_params
{
name
:
"image_height"
value
:
1080
}
array_float_params
{
name
:
"roi"
values
:
0
values
:
440
values
:
1920
values
:
640
}
bool_params
{
name
:
"use_non_mask"
value
:
false
}
array_float_params
{
name
:
"non_mask"
values
:
960
# x coordinate of point
values
:
810
# y coordinate of point
values
:
1260
values
:
1079
values
:
660
values
:
1079
}
float_params
{
name
:
"lane_map_confidence_thresh"
value
:
0
.
5
}
float_params
{
name
:
"cc_split_siz"
value
:
50
.
0
}
integer_params
{
name
:
"cc_split_len"
value
:
25
}
integer_params
{
name
:
"min_cc_pixel_num"
value
:
10
}
integer_params
{
name
:
"min_cc_size"
value
:
5
}
float_params
{
name
:
"min_y_search_offset"
value
:
0
.
5
}
float_params
{
name
:
"min_y_search_offset_image"
value
:
0
.
5
}
# association method
string_params
{
name
:
"assoc_method"
value
:
"greedy_group_connect"
}
# minimum distance
float_params
{
name
:
"assoc_min_distance"
value
: -
0
.
5
}
float_params
{
name
:
"assoc_min_distance_image"
value
: -
3
}
# maximum distance
float_params
{
name
:
"assoc_max_distance"
value
:
60
.
0
}
float_params
{
name
:
"assoc_max_distance_image"
value
:
400
.
0
}
float_params
{
name
:
"assoc_distance_weight"
value
:
0
.
4
}
# max deviation angle
float_params
{
name
:
"assoc_max_deviation_angle"
value
:
15
.
0
}
float_params
{
name
:
"assoc_max_deviation_angle_image"
value
:
45
.
0
}
float_params
{
name
:
"assoc_deviation_angle_weight"
value
:
0
.
2
}
# max departure distance
float_params
{
name
:
"assoc_max_departure_distance"
value
:
3
.
0
}
float_params
{
name
:
"assoc_max_departure_distance_image"
value
:
80
.
0
}
float_params
{
name
:
"assoc_departure_distance_weight"
value
:
0
.
2
}
# max relative orientation
float_params
{
name
:
"assoc_max_relative_orie"
value
:
15
.
0
}
float_params
{
name
:
"assoc_max_relative_orie_image"
value
:
45
.
0
}
float_params
{
name
:
"assoc_relative_orie_weight"
value
:
0
.
2
}
# minimum size threshold used for orientation estimation
float_params
{
name
:
"assoc_min_orientation_estimation_size"
value
:
3
.
0
}
float_params
{
name
:
"assoc_min_orientation_estimation_size_image"
value
:
10
.
0
}
# maximum number of markers for each CC used in greed search association
integer_params
{
name
:
"max_cc_marker_match_num"
value
:
1
}
# maximum window size for greed sliding window association
float_params
{
name
:
"slide_window_size"
value
:
15
.
0
}
float_params
{
name
:
"slide_window_size_image"
value
:
200
.
0
}
# maximum number of markers used for greed sliding window association
integer_params
{
name
:
"slide_window_max_point_num"
value
:
3
}
# maximum number of markers used for orientation estimation in greed group connect association
integer_params
{
name
:
"max_group_prediction_marker_num"
value
:
3
}
# skip marker number used for orientation estimation in marker association
integer_params
{
name
:
"orientation_estimation_skip_marker_num"
value
:
1
}
# predefined lane interval distance
float_params
{
name
:
"lane_interval_distance"
value
:
4
.
0
}
# minimum size of lane instances to be prefiltered
float_params
{
name
:
"min_instance_size_prefiltered"
value
:
3
.
0
}
float_params
{
name
:
"min_instance_size_prefiltered_image"
value
:
20
.
0
}
# maximum size used for fitting straight lines on lane instances
float_params
{
name
:
"max_size_to_fit_straight_line"
value
:
10
.
0
}
float_params
{
name
:
"max_size_to_fit_straight_line_image"
value
:
300
.
0
}
# initial online pitch angle (in degree)
float_params
{
name
:
"online_pitch_angle"
value
: -
2
.
5
}
# initial ground height (in meter)
float_params
{
name
:
"ground_height"
value
:
1
.
6
}
# maximum perception distance for transformer (in meter)
float_params
{
name
:
"max_distance_to_see_for_transformer"
value
:
500
.
0
}
}
\ No newline at end of file
modules/perception/model/probabilistic_fusion.config
已删除
100644 → 0
浏览文件 @
200fda09
model_configs
{
# Probabilistic_Fusion model.
name
:
"ProbabilisticFusion"
version
:
"1.0.0"
string_params
{
name
:
"match_method"
value
:
"hm_matcher"
}
float_params
{
name
:
"max_match_distance"
value
:
4
.
0
}
float_params
{
name
:
"max_lidar_invisible_period"
value
:
0
.
25
}
float_params
{
name
:
"max_radar_invisible_period"
value
:
0
.
25
}
float_params
{
name
:
"max_radar_confident_angle"
value
:
30
}
float_params
{
name
:
"min_radar_confident_distance"
value
:
40
}
# publish the fused object if it has a lidar measurement
bool_params
{
name
:
"publish_if_has_lidar"
value
:
true
}
# publish the fused object if it has a radar measurement
bool_params
{
name
:
"publish_if_has_radar"
value
:
true
}
string_params
{
name
:
"publish_sensor"
# candidate values: "velodyne_64", "radar", "camera_front_short"
value
:
"velodyne_64"
}
bool_params
{
name
:
"use_radar"
value
:
true
}
bool_params
{
name
:
"use_lidar"
value
:
true
}
}
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