Index

A

abs() (in module pyailib.base.mathops) accc() (in module pyailib.dsp.correlation) add() (pyailib.summary.loss_log.LossLog method)

ampphaerror() (in module pyailib.evaluation.error) arraycomb() (in module pyailib.base.arrayops) assign() (pyailib.summary.loss_log.LossLog method)

B

bbox_iou() (in module pyailib.evaluation.detection_voc)

bin2int() (in module pyailib.utils.typevalue)

C

c2r() (in module pyailib.base.mathops) calc_detection_voc_ap() (in module pyailib.evaluation.detection_voc) calc_detection_voc_prec_rec() (in module pyailib.evaluation.detection_voc) cat() (in module pyailib.base.arrayops) chirp() (in module pyailib.dsp.normalsignals) compress() (pyailib.compression.huffman_coding.HuffmanCoding method) conj() (in module pyailib.base.mathops)

contrast() (in module pyailib.evaluation.contrast) conv1() (in module pyailib.dsp.convolution) corr1() (in module pyailib.dsp.correlation) cplot() (in module pyailib.utils.plot_show) ct2rt() (in module pyailib.misc.transform) cut() (in module pyailib.base.arrayops) cutfftconv1() (in module pyailib.dsp.convolution) cutfftcorr1() (in module pyailib.dsp.correlation)

D

db20() (in module pyailib.misc.transform) decode_text() (pyailib.compression.huffman_coding.HuffmanCoding method) decompress() (pyailib.compression.huffman_coding.HuffmanCoding method) dmka() (in module pyailib.base.baseops)

dnsampling() (in module pyailib.misc.sampling) draw_eclipse() (in module pyailib.misc.draw_shapes) draw_rectangle() (in module pyailib.misc.draw_shapes) dreplace() (in module pyailib.base.baseops)

E

ebeo() (in module pyailib.base.mathops)

entropy() (in module pyailib.evaluation.entropy) eval_detection_voc() (in module pyailib.evaluation.detection_voc)

F

fft() (in module pyailib.dsp.ffts) fft2() (in module pyailib.dsp.ffts) fftconv1() (in module pyailib.dsp.convolution) fftcorr1() (in module pyailib.dsp.correlation) fftfreq() (in module pyailib.dsp.ffts) fftshift() (in module pyailib.dsp.ffts)

fftx() (in module pyailib.dsp.ffts) ffty() (in module pyailib.dsp.ffts) fileparts() (in module pyailib.utils.file) fmt_bbox() (in module pyailib.misc.bounding_box) fnorm() (in module pyailib.evaluation.norm) freq() (in module pyailib.dsp.ffts)

G

get() (pyailib.summary.loss_log.LossLog method) get_byte_array() (pyailib.compression.huffman_coding.HuffmanCoding method)

get_encoded_text() (pyailib.compression.huffman_coding.HuffmanCoding method) gray2rgb() (in module pyailib.utils.colors)

H

histeq() (in module pyailib.utils.image) hs() (in module pyailib.dsp.normalsignals)

HuffmanCoding (class in pyailib.compression.huffman_coding) HuffmanCoding.HeapNode (class in pyailib.compression.huffman_coding)

I

ifft() (in module pyailib.dsp.ffts) ifftshift() (in module pyailib.dsp.ffts) ifftx() (in module pyailib.dsp.ffts) iffty() (in module pyailib.dsp.ffts) ihs() (in module pyailib.dsp.normalsignals)

imag() (in module pyailib.base.mathops) imread() (in module pyailib.utils.image) imresize() (in module pyailib.utils.image) imsave() (in module pyailib.utils.image) interp() (in module pyailib.dsp.interpolation1d) interp2d() (in module pyailib.dsp.interpolation2d)

J

judge() (pyailib.summary.loss_log.LossLog method)

L

listxfile() (in module pyailib.utils.file) loadh5() (in module pyailib.utils.ios) loadjson() (in module pyailib.utils.ios)

loadmat() (in module pyailib.utils.ios) loadyaml() (in module pyailib.utils.ios) LossLog (class in pyailib.summary.loss_log)

M

mae() (in module pyailib.evaluation.error) make_codes() (pyailib.compression.huffman_coding.HuffmanCoding method) make_codes_helper() (pyailib.compression.huffman_coding.HuffmanCoding method) make_frequency_dict() (pyailib.compression.huffman_coding.HuffmanCoding method) make_heap() (pyailib.compression.huffman_coding.HuffmanCoding method) mapping() (in module pyailib.misc.mapping_operation) merge_nodes() (pyailib.compression.huffman_coding.HuffmanCoding method) module pyailib pyailib.base pyailib.base.arrayops pyailib.base.baseops pyailib.base.mathops pyailib.base.randomfunc pyailib.compression pyailib.compression.huffman_coding pyailib.dsp pyailib.dsp.convolution pyailib.dsp.correlation pyailib.dsp.ffts pyailib.dsp.function_base pyailib.dsp.interpolation1d pyailib.dsp.interpolation2d pyailib.dsp.normalsignals pyailib.evaluation pyailib.evaluation.contrast pyailib.evaluation.detection_voc pyailib.evaluation.entropy pyailib.evaluation.error pyailib.evaluation.norm pyailib.evaluation.snr pyailib.misc pyailib.misc.bounding_box pyailib.misc.draw_shapes pyailib.misc.mapping_operation pyailib.misc.sampling pyailib.misc.transform pyailib.summary pyailib.summary.loss_log pyailib.utils pyailib.utils.colormaps pyailib.utils.colors pyailib.utils.const pyailib.utils.convert pyailib.utils.file pyailib.utils.image pyailib.utils.ios pyailib.utils.plot_show pyailib.utils.typevalue pyailib.version

mse() (in module pyailib.evaluation.error) mvkeyh5() (in module pyailib.utils.ios)

N

nextpow2() (in module pyailib.base.mathops)

P

pad_encoded_text() (pyailib.compression.huffman_coding.HuffmanCoding method) padfft() (in module pyailib.dsp.ffts) patch2tensor() (in module pyailib.misc.sampling) pathjoin() (in module pyailib.utils.file) peakvalue() (in module pyailib.utils.typevalue) plot() (pyailib.summary.loss_log.LossLog method) plot_bbox() (in module pyailib.misc.bounding_box) Plots (class in pyailib.utils.plot_show) plots() (in module pyailib.utils.plot_show) pnorm() (in module pyailib.evaluation.norm) pow() (in module pyailib.base.mathops) prevpow2() (in module pyailib.base.mathops) psnr() (in module pyailib.evaluation.snr) pyailib module pyailib.base module pyailib.base.arrayops module pyailib.base.baseops module pyailib.base.mathops module pyailib.base.randomfunc module pyailib.compression module pyailib.compression.huffman_coding module pyailib.dsp module pyailib.dsp.convolution module pyailib.dsp.correlation module pyailib.dsp.ffts module pyailib.dsp.function_base module pyailib.dsp.interpolation1d module pyailib.dsp.interpolation2d module pyailib.dsp.normalsignals module pyailib.evaluation module pyailib.evaluation.contrast module

pyailib.evaluation.detection_voc module pyailib.evaluation.entropy module pyailib.evaluation.error module pyailib.evaluation.norm module pyailib.evaluation.snr module pyailib.misc module pyailib.misc.bounding_box module pyailib.misc.draw_shapes module pyailib.misc.mapping_operation module pyailib.misc.sampling module pyailib.misc.transform module pyailib.summary module pyailib.summary.loss_log module pyailib.utils module pyailib.utils.colormaps module pyailib.utils.colors module pyailib.utils.const module pyailib.utils.convert module pyailib.utils.file module pyailib.utils.image module pyailib.utils.ios module pyailib.utils.plot_show module pyailib.utils.typevalue module pyailib.version module

Q

quantization() (in module pyailib.misc.transform)

R

r2c() (in module pyailib.base.mathops) randgrid() (in module pyailib.base.randomfunc) randperm() (in module pyailib.base.randomfunc) randperm2d() (in module pyailib.base.randomfunc) read_samples() (in module pyailib.misc.sampling) readcsv() (in module pyailib.utils.file) readnum() (in module pyailib.utils.file)

readsec() (in module pyailib.utils.file) readtxt() (in module pyailib.utils.file) real() (in module pyailib.base.mathops) rect() (in module pyailib.dsp.normalsignals) remove_padding() (pyailib.compression.huffman_coding.HuffmanCoding method) rgb2gray() (in module pyailib.utils.colors) rt2ct() (in module pyailib.misc.transform)

S

sae() (in module pyailib.evaluation.error) sample_tensor() (in module pyailib.misc.sampling) saveh5() (in module pyailib.utils.ios) savemat() (in module pyailib.utils.ios) scale() (in module pyailib.misc.transform) setseed() (in module pyailib.base.randomfunc) shuffle_tensor() (in module pyailib.misc.sampling) sinc() (in module pyailib.dsp.interpolation1d) sinc_interp() (in module pyailib.dsp.interpolation1d)

sinc_table() (in module pyailib.dsp.interpolation1d) sl() (in module pyailib.base.arrayops) slidegrid() (in module pyailib.misc.sampling) snr() (in module pyailib.evaluation.snr) split_tensor() (in module pyailib.misc.sampling) sse() (in module pyailib.evaluation.error) standardization() (in module pyailib.misc.transform) str2list() (in module pyailib.utils.convert) str2num() (in module pyailib.utils.convert) str2sec() (in module pyailib.utils.convert)

T

tensor2patch() (in module pyailib.misc.sampling)

U

unwrap() (in module pyailib.dsp.function_base) unwrap2() (in module pyailib.dsp.function_base)

updir() (pyailib.summary.loss_log.LossLog method) upsampling() (in module pyailib.misc.sampling)

X

xcorr() (in module pyailib.dsp.correlation)