Index

A

abs() (in module pyaibox.base.mathops) accc() (in module pyaibox.dsp.correlation) accuracy() (in module pyaibox.evaluation.classification) acorr() (in module pyaibox.dsp.correlation) add() (pyaibox.summary.loss_log.LossLog method)

ampphaerror() (in module pyaibox.evaluation.error) arraycomb() (in module pyaibox.base.arrayops) assign() (pyaibox.summary.loss_log.LossLog method) awgn() (in module pyaibox.misc.noising) awgns() (in module pyaibox.misc.noising) awgns2() (in module pyaibox.misc.noising)

B

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

bstr2int() (in module pyaibox.utils.convert)

C

c2r() (in module pyaibox.base.mathops) calc_detection_voc_ap() (in module pyaibox.evaluation.detection_voc) calc_detection_voc_prec_rec() (in module pyaibox.evaluation.detection_voc) cat() (in module pyaibox.base.arrayops) categorical2onehot() (in module pyaibox.evaluation.classification) chirp() (in module pyaibox.dsp.normalsignals) compress() (pyaibox.compression.huffman_coding.HuffmanCoding method) confusion() (in module pyaibox.evaluation.classification) conj() (in module pyaibox.base.mathops) contrast() (in module pyaibox.evaluation.contrast)

conv1() (in module pyaibox.dsp.convolution) copyfile() (in module pyaibox.utils.file) copyfiles() (in module pyaibox.utils.file) corr1() (in module pyaibox.dsp.correlation) cplot() (in module pyaibox.utils.plot_show) crelu() (in module pyaibox.nn.activations) ct2rt() (in module pyaibox.misc.transform) cut() (in module pyaibox.base.arrayops) cutfftconv1() (in module pyaibox.dsp.convolution) cutfftcorr1() (in module pyaibox.dsp.correlation)

D

data_path() (in module pyaibox.utils.file) db20() (in module pyaibox.misc.transform) db2mag() (in module pyaibox.base.mathops) decode_text() (pyaibox.compression.huffman_coding.HuffmanCoding method) decompress() (pyaibox.compression.huffman_coding.HuffmanCoding method) dict2str() (in module pyaibox.utils.convert)

dmka() (in module pyaibox.base.baseops) dnsampling() (in module pyaibox.misc.sampling) draw_eclipse() (in module pyaibox.misc.draw_shapes) draw_rectangle() (in module pyaibox.misc.draw_shapes) dreplace() (in module pyaibox.base.baseops) dtypes() (in module pyaibox.base.typevalue)

E

ebeo() (in module pyaibox.base.mathops) elu() (in module pyaibox.nn.activations)

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

F

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

ffty() (in module pyaibox.dsp.ffts) file2hash() (in module pyaibox.utils.convert) fileparts() (in module pyaibox.utils.file) fmt_bbox() (in module pyaibox.misc.bounding_box) fnab() (in module pyaibox.base.mathops) fnorm() (in module pyaibox.evaluation.norm) freq() (in module pyaibox.dsp.ffts)

G

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

get_encoded_text() (pyaibox.compression.huffman_coding.HuffmanCoding method) gpyi() (in module pyaibox.utils.docstr) gray2rgb() (in module pyaibox.utils.colors)

H

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

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

I

ifft() (in module pyaibox.dsp.ffts) ifftshift() (in module pyaibox.dsp.ffts) ifftx() (in module pyaibox.dsp.ffts) iffty() (in module pyaibox.dsp.ffts) ihs() (in module pyaibox.dsp.normalsignals) imag() (in module pyaibox.base.mathops) imnoise() (in module pyaibox.misc.noising)

imread() (in module pyaibox.utils.image) imresize() (in module pyaibox.utils.image) imsave() (in module pyaibox.utils.image) imshow() (in module pyaibox.utils.plot_show) int2bstr() (in module pyaibox.utils.convert) interp() (in module pyaibox.dsp.interpolation1d) interp2d() (in module pyaibox.dsp.interpolation2d)

J

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

K

kappa() (in module pyaibox.evaluation.classification)

L

leaky_relu() (in module pyaibox.nn.activations) linear() (in module pyaibox.nn.activations) listxfile() (in module pyaibox.utils.file) loadbin() (in module pyaibox.utils.ios)

loadh5() (in module pyaibox.utils.ios) loadjson() (in module pyaibox.utils.ios) loadmat() (in module pyaibox.utils.ios) loadyaml() (in module pyaibox.utils.ios) LossLog (class in pyaibox.summary.loss_log)

M

mae() (in module pyaibox.evaluation.error) mag2db() (in module pyaibox.base.mathops) make_codes() (pyaibox.compression.huffman_coding.HuffmanCoding method) make_codes_helper() (pyaibox.compression.huffman_coding.HuffmanCoding method) make_frequency_dict() (pyaibox.compression.huffman_coding.HuffmanCoding method) make_heap() (pyaibox.compression.huffman_coding.HuffmanCoding method) mapping() (in module pyaibox.misc.mapping_operation) merge_nodes() (pyaibox.compression.huffman_coding.HuffmanCoding method) mesh() (in module pyaibox.utils.plot_show) module pyaibox pyaibox.base pyaibox.base.arrayops pyaibox.base.baseops pyaibox.base.mathops pyaibox.base.randomfunc pyaibox.base.typevalue pyaibox.compression pyaibox.compression.huffman_coding pyaibox.datasets pyaibox.datasets.mnist pyaibox.datasets.mstar pyaibox.dsp pyaibox.dsp.convolution pyaibox.dsp.correlation pyaibox.dsp.ffts pyaibox.dsp.function_base pyaibox.dsp.interpolation1d pyaibox.dsp.interpolation2d pyaibox.dsp.normalsignals pyaibox.evaluation pyaibox.evaluation.classification pyaibox.evaluation.contrast pyaibox.evaluation.detection_voc pyaibox.evaluation.entropy pyaibox.evaluation.error pyaibox.evaluation.norm pyaibox.evaluation.snrs pyaibox.misc pyaibox.misc.bounding_box pyaibox.misc.draw_shapes pyaibox.misc.mapping_operation pyaibox.misc.noising pyaibox.misc.sampling pyaibox.misc.transform pyaibox.nn pyaibox.nn.activations pyaibox.summary pyaibox.summary.loss_log pyaibox.utils pyaibox.utils.colormaps pyaibox.utils.colors pyaibox.utils.const pyaibox.utils.convert pyaibox.utils.docstr pyaibox.utils.file pyaibox.utils.image pyaibox.utils.ios pyaibox.utils.plot_show pyaibox.version

mse() (in module pyaibox.evaluation.error) mshow() (in module pyaibox.utils.plot_show) mstar_header() (in module pyaibox.datasets.mstar) mstar_raw() (in module pyaibox.datasets.mstar) mvkeyh5() (in module pyaibox.utils.ios)

N

nextpow2() (in module pyaibox.base.mathops) nmae() (in module pyaibox.evaluation.error)

nmse() (in module pyaibox.evaluation.error) nsae() (in module pyaibox.evaluation.error) nsse() (in module pyaibox.evaluation.error)

O

onehot2categorical() (in module pyaibox.evaluation.classification)

P

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

pyaibox.evaluation.classification module pyaibox.evaluation.contrast module pyaibox.evaluation.detection_voc module pyaibox.evaluation.entropy module pyaibox.evaluation.error module pyaibox.evaluation.norm module pyaibox.evaluation.snrs module pyaibox.misc module pyaibox.misc.bounding_box module pyaibox.misc.draw_shapes module pyaibox.misc.mapping_operation module pyaibox.misc.noising module pyaibox.misc.sampling module pyaibox.misc.transform module pyaibox.nn module pyaibox.nn.activations module pyaibox.summary module pyaibox.summary.loss_log module pyaibox.utils module pyaibox.utils.colormaps module pyaibox.utils.colors module pyaibox.utils.const module pyaibox.utils.convert module pyaibox.utils.docstr module pyaibox.utils.file module pyaibox.utils.image module pyaibox.utils.ios module pyaibox.utils.plot_show module pyaibox.version module

Q

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

R

r2c() (in module pyaibox.base.mathops) randgrid() (in module pyaibox.base.randomfunc) randperm() (in module pyaibox.base.randomfunc) randperm2d() (in module pyaibox.base.randomfunc) read_mnist() (in module pyaibox.datasets.mnist) read_samples() (in module pyaibox.misc.sampling) readcsv() (in module pyaibox.utils.file) readnum() (in module pyaibox.utils.file) readsec() (in module pyaibox.utils.file)

readtxt() (in module pyaibox.utils.file) real() (in module pyaibox.base.mathops) rect() (in module pyaibox.dsp.normalsignals) relu() (in module pyaibox.nn.activations) relu6() (in module pyaibox.nn.activations) remove_padding() (pyaibox.compression.huffman_coding.HuffmanCoding method) rgb2gray() (in module pyaibox.utils.colors) rmcache() (in module pyaibox.utils.docstr) rt2ct() (in module pyaibox.misc.transform)

S

sae() (in module pyaibox.evaluation.error) sample_tensor() (in module pyaibox.misc.sampling) savebin() (in module pyaibox.utils.ios) saveh5() (in module pyaibox.utils.ios) savemat() (in module pyaibox.utils.ios) saveyaml() (in module pyaibox.utils.ios) scale() (in module pyaibox.misc.transform) selu() (in module pyaibox.nn.activations) setseed() (in module pyaibox.base.randomfunc) shuffle_tensor() (in module pyaibox.misc.sampling) sigmoid() (in module pyaibox.nn.activations) sinc() (in module pyaibox.dsp.interpolation1d) sinc_interp() (in module pyaibox.dsp.interpolation1d)

sinc_table() (in module pyaibox.dsp.interpolation1d) sl() (in module pyaibox.base.arrayops) slidegrid() (in module pyaibox.misc.sampling) snr() (in module pyaibox.evaluation.snrs) softplus() (in module pyaibox.nn.activations) softsign() (in module pyaibox.nn.activations) split_tensor() (in module pyaibox.misc.sampling) sse() (in module pyaibox.evaluation.error) standardization() (in module pyaibox.misc.transform) str2hash() (in module pyaibox.utils.convert) str2list() (in module pyaibox.utils.convert) str2num() (in module pyaibox.utils.convert) str2sec() (in module pyaibox.utils.convert) swish() (in module pyaibox.nn.activations)

T

tanh() (in module pyaibox.nn.activations)

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

U

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

updir() (pyaibox.summary.loss_log.LossLog method) upkeys() (in module pyaibox.base.baseops)

W

wgn() (in module pyaibox.misc.noising)

X

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