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Functions56 in github.com/JunshengFu/vehicle-detection

↓ 24 callersMethodconv_layer
(self,idx,inputs,filters,size,stride)
yolo_pipeline.py:68
↓ 7 callersFunctionget_hog_features
(img, orient, pix_per_cell, cell_per_block, vis=False, feature_vec=True)
svm_pipeline.py:45
↓ 4 callersMethodpooling_layer
(self,idx,inputs,size,stride)
yolo_pipeline.py:82
↓ 3 callersFunctionabs_sobel_thresh
(img, orient='x', sobel_kernel=3, thresh=(0, 255))
lane.py:86
↓ 3 callersFunctionbin_spatial
(img, size=(32, 32))
svm_pipeline.py:65
↓ 3 callersFunctioncolor_hist
(img, nbins=32)
svm_pipeline.py:74
↓ 3 callersMethodfc_layer
(self,idx,inputs,hiddens,flat = False,linear = False)
yolo_pipeline.py:86
↓ 2 callersFunctionapply_threshold
(heatmap, threshold)
svm_pipeline.py:382
↓ 2 callersFunctionconvert_color
(img, conv='RGB2YCrCb')
svm_pipeline.py:191
↓ 2 callersFunctiondir_threshold
threshold according to the direction of the gradient :param img: :param sobel_kernel: :param thresh: :return:
lane.py:134
↓ 2 callersFunctiondraw_background_highlight
(image, draw_img, w)
visualizations.py:43
↓ 2 callersFunctiondraw_lane_status
(frame, lane_info, threshold_offset = 0.6)
visualizations.py:4
↓ 2 callersFunctiondraw_thumbnails
(img_cp, img, window_list, thumb_w=100, thumb_h=80, off_x=30, off_y=30)
visualizations.py:33
↓ 2 callersFunctionextract_features
(imgs, color_space='RGB', spatial_size=(32, 32), hist_bins=32, orient=9,
svm_pipeline.py:87
↓ 2 callersFunctionget_fileNames
(rootdir)
svm_pipeline.py:450
↓ 2 callersFunctionlane_process
(img, visualization=False)
lane.py:576
↓ 2 callersFunctionload_calibration
:param calib_file: :return: mtx and dist
calibration.py:70
↓ 2 callersMethodprocess
(self, ploty)
lane.py:41
↓ 2 callersFunctionwarper
(img, M)
lane.py:212
↓ 1 callersFunctionadd_heat
(heatmap, bbox_list)
svm_pipeline.py:371
↓ 1 callersMethodappend_fitx
(self)
lane.py:36
↓ 1 callersMethodaverage_pre_lanes
(self)
lane.py:31
↓ 1 callersMethodbuild_networks
(self)
yolo_pipeline.py:26
↓ 1 callersFunctioncalibrate_camera
:param nx: number of grids in x axis :param ny: number of grids in y axis :param basepath: path contains the calibration images :ret
calibration.py:15
↓ 1 callersFunctioncompute_car_offcenter
(ploty, left_fitx, right_fitx, undist)
lane.py:426
↓ 1 callersFunctioncreate_output_frame
:param offcenter: :param pts: :param undist_ori: :param fps: :param threshold: :return:
lane.py:445
↓ 1 callersFunctiondetect_from_cvmat
(yolo,img)
yolo_pipeline.py:102
↓ 1 callersFunctiondetect_from_file
(yolo,filename)
yolo_pipeline.py:114
↓ 1 callersFunctiondetector
(binary_sub, ploty, visualization=False)
lane.py:548
↓ 1 callersFunctiondraw_bboxes
(img, heatmap_buffer, heatmap_pre, N_buffer)
svm_pipeline.py:389
↓ 1 callersFunctiondraw_results
(img, image_lane, yolo, fps, lane_info)
yolo_pipeline.py:169
↓ 1 callersFunctionfind_cars
(img, ystart, ystop, scale, svc, X_scaler, orient, pix_per_cell, cell_per_block, spatial_size, hist_bins,
svm_pipeline.py:285
↓ 1 callersFunctionfind_edges
(img, s_thresh=s_thresh, sx_thresh=sx_thresh, dir_thresh=dir_thresh)
lane.py:185
↓ 1 callersFunctionfull_search
(binary_warped, visualization=False)
lane.py:222
↓ 1 callersFunctiongenerate_heatmap
(image, windows_list)
svm_pipeline.py:429
↓ 1 callersFunctioninterpret_output
(yolo,output)
yolo_pipeline.py:118
↓ 1 callersFunctioniou
(box1,box2)
yolo_pipeline.py:200
↓ 1 callersFunctionmag_thresh
(img, sobel_kernel=3, thresh=(0, 255))
lane.py:110
↓ 1 callersFunctionmeasure_lane_curvature
(ploty, leftx, rightx, visualization=False)
lane.py:375
↓ 1 callersFunctionoff_center
:param left: left lane position :param mid: car position :param right: right lane position :return: True or False, indicator of off
lane.py:406
↓ 1 callersFunctionpipeline_svm
(img)
main.py:14
↓ 1 callersFunctionpipeline_yolo
(img)
main.py:7
↓ 1 callersFunctionsingle_img_features
(img, color_space='RGB', spatial_size=(32, 32), hist_bins=32, orient=9,
svm_pipeline.py:203
↓ 1 callersFunctionthreshold_col_channel
(channel, thresh)
lane.py:176
↓ 1 callersFunctiontracker
(binary_sub, ploty, visualization=False)
lane.py:522
↓ 1 callersFunctionvehicle_detection_svm
(image, img_lane_augmented, lane_info)
svm_pipeline.py:555
↓ 1 callersFunctionvehicle_detection_yolo
(image, image_lane, lane_info)
yolo_pipeline.py:211
↓ 1 callersFunctionwindow_search
(left_fit, right_fit, binary_warped, margin=100, visualization=False)
lane.py:316
Method__init__
(self)
yolo_pipeline.py:23
Method__init__
(self)
lane.py:17
Functiondraw_boxes
(img, bboxes, color=(0, 0, 255), thick=6)
svm_pipeline.py:180
Functiondraw_speed
(img_cp, fps, w)
visualizations.py:25
Functiongradient_pipeline
(image, ksize = 3, sx_thresh=(20, 100), sy_thresh=(20, 100), m_thresh=(30, 100), dir_thresh=(0.7, 1.3))
lane.py:162
Functionsearch_windows
(img, windows, clf, scaler, color_space='RGB', spatial_size=(32, 32), hist_bins=32, orient
svm_pipeline.py:253
Functionslide_window
(img, x_start_stop=[None, None], y_start_stop=[None, None], xy_window=(64, 64), xy_overlap
svm_pipeline.py:141
Functionundistort_image
undistort the image and visualization :param imagepath: image path :param calib_file: includes calibration matrix and distortion coefficient
calibration.py:85