Usage: opencv_createsamples
  [-info <collection_file_name>]
  [-img <image_file_name>]
  [-vec <vec_file_name>]
  [-bg <background_file_name>]
  [-num <number_of_samples = 1000>]
  [-bgcolor <background_color = 0>]
  [-inv] [-randinv] [-bgthresh <background_color_threshold = 80>]
  [-maxidev <max_intensity_deviation = 40>]
  [-maxxangle <max_x_rotation_angle = 1.100000>]
  [-maxyangle <max_y_rotation_angle = 1.100000>]
  [-maxzangle <max_z_rotation_angle = 0.500000>]
  [-show [<scale = 4.000000>]]
  [-w <sample_width = 24>]
  [-h <sample_height = 24>]
  [-maxscale <max sample scale = -1.000000>]




dir /s /B /O p\*.jpg > pos.txt



opencv_createsamples ^
-info "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\annotations.txt"   ^
-img "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\car.png"   ^
-vec "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\pos_samples.vec" ^
-bg "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\bg.txt"   ^
-num 1000 ^
-pngoutput   ^
-maxxangle 0.1   ^
-maxyangle 0.1   ^
-maxzangle 0.1   ^
-show 
-w 50 -h 50   ^



opencv_createsamples ^
-info "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\annotations.txt"   ^
-img "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\car.png"   ^
-bg "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\bg.txt"   ^
-num 1000 ^
-pngoutput   ^
-maxxangle 0.1   ^
-maxyangle 0.1   ^
-maxzangle 0.1   ^
-show 


opencv_createsamples    ^
-info annotations.txt    ^
-bg negatives.txt    ^
-vec positives.txt    ^
-w 24 -h 24  



========================================================================================
Usage: opencv_traincascade
  -data <cascade_dir_name>
  -vec <vec_file_name>
  -bg <background_file_name>
  [-numPos <number_of_positive_samples = 2000>]
  [-numNeg <number_of_negative_samples = 1000>]
  [-numStages <number_of_stages = 20>]
  [-precalcValBufSize <precalculated_vals_buffer_size_in_Mb = 1024>]
  [-precalcIdxBufSize <precalculated_idxs_buffer_size_in_Mb = 1024>]
  [-baseFormatSave]
  [-numThreads <max_number_of_threads = 4>]
  [-acceptanceRatioBreakValue <value> = -1>]
--cascadeParams--
  [-stageType <BOOST(default)>]
  [-featureType <{HAAR(default), LBP, HOG}>]
  [-w <sampleWidth = 24>]
  [-h <sampleHeight = 24>]
--boostParams--
  [-bt <{DAB, RAB, LB, GAB(default)}>]
  [-minHitRate <min_hit_rate> = 0.995>]
  [-maxFalseAlarmRate <max_false_alarm_rate = 0.5>]
  [-weightTrimRate <weight_trim_rate = 0.95>]
  [-maxDepth <max_depth_of_weak_tree = 1>]
  [-maxWeakCount <max_weak_tree_count = 100>]
--haarFeatureParams--
  [-mode <BASIC(default) | CORE | ALL
--lbpFeatureParams--
--HOGFeatureParams--



opencv_traincascade 
-data "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\classifier" 
-vec positives.txt 
-bg negatives.txt 
-numPos 430 
-numNeg 450 
-w 24 -h 24 
-precalcValBufSize 1024 
-precalcIdxBufSize 1024 
-numStages 25 
-acceptanceRatioBreakValue 1.0e-5