104 lines
3.0 KiB
Plaintext
104 lines
3.0 KiB
Plaintext
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Usage: opencv_createsamples
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[-info <collection_file_name>]
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[-img <image_file_name>]
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[-vec <vec_file_name>]
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[-bg <background_file_name>]
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[-num <number_of_samples = 1000>]
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[-bgcolor <background_color = 0>]
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[-inv] [-randinv] [-bgthresh <background_color_threshold = 80>]
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[-maxidev <max_intensity_deviation = 40>]
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[-maxxangle <max_x_rotation_angle = 1.100000>]
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[-maxyangle <max_y_rotation_angle = 1.100000>]
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[-maxzangle <max_z_rotation_angle = 0.500000>]
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[-show [<scale = 4.000000>]]
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[-w <sample_width = 24>]
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[-h <sample_height = 24>]
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[-maxscale <max sample scale = -1.000000>]
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dir /s /B /O p\*.jpg > pos.txt
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opencv_createsamples ^
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-info "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\annotations.txt" ^
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-img "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\car.png" ^
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-vec "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\pos_samples.vec" ^
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-bg "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\bg.txt" ^
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-num 1000 ^
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-pngoutput ^
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-maxxangle 0.1 ^
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-maxyangle 0.1 ^
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-maxzangle 0.1 ^
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-show
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-w 50 -h 50 ^
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opencv_createsamples ^
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-info "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\annotations.txt" ^
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-img "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\car.png" ^
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-bg "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\bg.txt" ^
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-num 1000 ^
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-pngoutput ^
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-maxxangle 0.1 ^
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-maxyangle 0.1 ^
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-maxzangle 0.1 ^
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-show
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opencv_createsamples ^
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-info annotations.txt ^
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-bg negatives.txt ^
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-vec positives.txt ^
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-w 24 -h 24
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========================================================================================
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Usage: opencv_traincascade
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-data <cascade_dir_name>
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-vec <vec_file_name>
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-bg <background_file_name>
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[-numPos <number_of_positive_samples = 2000>]
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[-numNeg <number_of_negative_samples = 1000>]
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[-numStages <number_of_stages = 20>]
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[-precalcValBufSize <precalculated_vals_buffer_size_in_Mb = 1024>]
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[-precalcIdxBufSize <precalculated_idxs_buffer_size_in_Mb = 1024>]
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[-baseFormatSave]
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[-numThreads <max_number_of_threads = 4>]
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[-acceptanceRatioBreakValue <value> = -1>]
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--cascadeParams--
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[-stageType <BOOST(default)>]
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[-featureType <{HAAR(default), LBP, HOG}>]
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[-w <sampleWidth = 24>]
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[-h <sampleHeight = 24>]
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--boostParams--
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[-bt <{DAB, RAB, LB, GAB(default)}>]
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[-minHitRate <min_hit_rate> = 0.995>]
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[-maxFalseAlarmRate <max_false_alarm_rate = 0.5>]
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[-weightTrimRate <weight_trim_rate = 0.95>]
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[-maxDepth <max_depth_of_weak_tree = 1>]
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[-maxWeakCount <max_weak_tree_count = 100>]
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--haarFeatureParams--
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[-mode <BASIC(default) | CORE | ALL
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--lbpFeatureParams--
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--HOGFeatureParams--
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opencv_traincascade
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-data "E:\PROJECT ALL\kaggle\project\car detection haarcascade training raju\classifier"
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-vec positives.txt
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-bg negatives.txt
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-numPos 430
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-numNeg 450
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-w 24 -h 24
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-precalcValBufSize 1024
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-precalcIdxBufSize 1024
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-numStages 25
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-acceptanceRatioBreakValue 1.0e-5 |