Scripts for process different files or txt.
[[[[[[[[[[[[[[[[[[[[[[ Draw Pictures ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: lossinlog.sh
- Used to draw the curve of loss and iteration.
- Usage: sh lossinlog.sh log.file
- input: log.file [the name of your log file]
- output: "loss.png" [the output img of your curve] */
/**
- File: plot_fig_accordingto_evaluation.py
- Used to plot the curve according to the txt given x & y.
- Usage: python *.py input_txt.txt flag_above_15k */
/**
- File: drawRects.py
- Used to draw the bb according to the given gt txt.
- Usage: python *.py gt.txt srcDir dstDir */
[[[[[[[[[[[[[[[[[[[[[[ Run Ur Code ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: always_run.py
- Used to run ur code every n seconds.
- Usage: python *.py 5 */
[[[[[[[[[[[[[[[[[[[[[[ Calculate CNN ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: calc_receptive_field.py
- Used to calculate the receptive field of a network.
- Usage: python calc_receptive_field.py
- net_struct: the parameter setting of your own network. */
[[[[[[[[[[[[[[[[[[[[[[ Calculate Distance ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: ave_pool.py
- Used to calculate the distance between two vectors.
- Usage: python ave_pool.py */
[[[[[[[[[[[[[[[[[[[[[[ Process Images ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: crop_image_to_400.py
- Used to crop the images whose size equals to 400*400
- Usage: python *.py input_txt.txt input_dir output_dir */
/**
- File: resize_227.py
- Used to resize the images to the size 227*227
- Usage: python *.py input_txt.txt input_dir output_dir */
[[[[[[[[[[[[[[[[[[[[[[ Process TXT ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: transform_format_of_train_gt.py
- Used to process the 5 points file to the 77 points file.
- Usage: python *.py input_txt.txt output_txt.txt
- Examples: python transform_format_of_train_gt.py train_gt.res traun_gt_joing.res */
/**
- File: generate_sorted_num.py
- Used to generate the sorted array, and write them into your txt.
- Usage: python *.py begin_num end_num output_txt */
/**
- File: split_train_test.py
- Used to split the file of the input txt into the train folder and test folder.
- Usage: python *.py input_txt.txt num_test train_dir test_dir */
/**
- File: seperate_agegroup.py
- Used to split the age of the input txt into the different txt file
- Usage: python *.py input_txt.txt age_group out_1.txt out_2.txt out_all.txt */
/**
- File: rename_file.py
- Used to rename all the imgs according to the txt
- Usage: python *.py input_txt.txt input_dir output_dir */
/**
- File: read_txt_cut_threshold.py
- Used to creat a new txt picking out some lines, and save a net txt
- Usage: python *.py input_txt.txt input_dir output_dir threshold
- Examples: python -m pdb read_txt_cut_threshold.py log_scale4alone_orig.txt \
-
./pred_VGG_finetune_fddb_wo_parsing_one_by_one_delete_scale4alone \ -
./pred_VGG_finetune_fddb_wo_parsing_one_by_one_delete_scale4alone_threshold045 0.45
*/
[[[[[[[[[[[[[[[[[[[[[[ Face Detection ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: detect_widerface.cpp
- Used to detect face and draw the predicted bounding boxes.
- Usage: *.exe ImgNameList is_has_rect imgsDir resultPtsListFile is_saving_drawed_img resultimgsDir face_conf [threshold=0.0] [min_face_width=0.0]
- Examples: ./bin/detect_widerface ~/dukang/data/WIDERFACE/val.imgList 0 ~/dukang/data/WIDERFACE/WIDER_val/images/
-
~/dukang/data/WIDERFACE/eval_tools/pred_VGG_finetune_fddb_wo_parsing/ 1 -
~/dukang/data/WIDERFACE/eval_tools/tmpRes_VGG_finetune_fddb_wo_parsing/ - Output: two folders (one depicture the predicted bb, another draw the bb) */
/**
- File: evaluationDetection.cpp & run_evaluation.sh
- Used to detect face and plot the corresponding bb. [maybe we can see the predicted bb and the gt bb]
- Usage: *.exe imgageList imageDir groundTruthList detectionResFile evaluationResFile needDetectAgain overlapThreshold
-
isSaveDetectionRes saveDir gt_rect_rotated[0]
*/
/**
- File: evaluation_norecall_and_falsepos.py
- Used to save the pictures with ground truth bounding boxes, the not recall and the false alarm in 3 folders.
- Usage: python evaluation_norecall_and_falsepos.py
- Parameters:
-
gtfile = 'supervisory_control_data_Rect_2_modified.txt' -
predfile = 'supervisory_control_data_Rect_predict_with_iou03.res' -
srcDir = 'data/' -
dstDir = 'evaluation_Res/' -
notRecallDir = 'det_res_new/notRecall/' -
falseAlarmDir = 'det_res_new/falseAlarm/'
*/
/**
- File: gen_refimage_pts.cpp & run_gen_refine_imgs.sh
- Used to generate the croped and aligned face with the size 600*600.
- Usage: *.exe imgList srcDir dstDir failedList */
[[[[[[[[[[[[[[[[[[[[[[ Visualization ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: visual_final_age_faces.py
- Used to visual the feature maps of some layers
- Usage: python *.py iter_num layer_name caffemodel_name test_img_path use_age_group */
/**
- File: visual_reconstruction.py
- Used to visual the feature maps of some layers
- Usage: python *.py iter_num layer_name caffemodel_name */
/**
- File: visual_scale_out.py
- Used to visual the feature maps of some layers
- Usage: python -m pdb visual_scale_out.py vgg-FDDB-v1-using-widerface-lr001_iter_40000.caffemodel \
- /home/vis/dukang/data/WIDERFACE/WIDER_val/ WIDER_val/log_wider_val.txt
- score-scale-1,score-scale-2,score-scale-3,score-scale-4 */
[[[[[[[[[[[[[[[[[[[[[[ H5 ]]]]]]]]]]]]]]]]]]]]]]]
/**
- File: generate_h5.py
- Used to GENERATE the h5 file according to the txt
- Usage: python *.py shuffle_four_info.txt hdf5_m_n.h5 split_part_num */
/**
- File: read_hdf5.py
- Used to read the h5 file
- Usage: python *.py */
/**
- File: generate_info_m_n_new.py
- Used to GENERATE the h5 file according to the txt
- Usage: python *.py input_txt.txt four_info.txt num_each_pair shuffle_four_info.txt
first_file.txt second_file.txt third_file.txt hdf5_m_n.h5 split_part_num */
[[[[[[[[[[[[[[[[[[[[[[ Demo ]]]]]]]]]]]]]]]]]]]]]]]
/**
- Folder: demo_face_rec_server
- Used to do face recognition on your server */
/**
- Folder: demo_face_verification_server
- Used to do face verification on your server */