Proto commits in Coldmooon/SSD-on-Custom-Dataset

These commits are when the Protocol Buffers files have changed: (only the last 100 relevant commits are shown)

Commit:2cbc1bb
Author:Evan Shelhamer
Committer:GitHub

Merge pull request #3855 from shaibagon/upgrade_infogain InfogainLoss layer can normalize, ignore, and more

Commit:850ffd8
Author:Cyprien Noel

Remove missed legacy parallel code

Commit:11930f1
Author:Jonathan R. Williford

Clarify batch norm parameter documentation.

Commit:929135b
Author:Evan Shelhamer
Committer:GitHub

Merge pull request #5210 from ftokarev/patches Obsolete reference to `bool solver` in caffe.proto

Commit:3a0b6c6
Author:Fyodor Tokarev
Committer:Fyodor Tokarev

Update a comment in caffe.proto

Commit:3ba2054
Author:Cyprien Noel
Committer:Cyprien Noel

Switched multi-GPU to NCCL

Commit:8a65ae3
Author:Wei Liu

add options to display per class AP

The documentation is generated from this commit.

Commit:db66432
Author:Zhou Mo

fix many typos by using codespell

Commit:b788af6
Author:Wei Liu

Merge branch 'master' into ssd

Commit:f487dc1
Author:Wei Liu

Merge branch 'master' into ssd

Commit:3d62e3c
Author:Evan Shelhamer
Committer:Evan Shelhamer

sigmoid cross-entropy loss: normalize loss by different schemes sig-ce loss handles all the same normalizations as the softmax loss; refer to #3296 for more detail. this preserves the default normalization for sig-ce loss: batch size.

Commit:2a2bedf
Author:Wei Liu

add option to set prior center offset

Commit:9c26fd7
Author:Wei Liu

add option to save display results to video file

Commit:cd53c56
Author:Wei Liu

add option to expand the image

Commit:44e139d
Author:Wei Liu

add plateau learning rate

Commit:cb40904
Author:Wei Liu

Merge branch 'master' into ssd

Commit:c6a070a
Author:Wei Liu

Merge branch 'master' into ssd

Commit:0e9ebab
Author:Sanghoon Hong
Committer:Sanghoon Hong

Add "plateau" LR policy for SGD solver

Commit:1427713
Author:Wei Liu

add demo for processing video file

Commit:579d93f
Author:Wei Liu

add skip_frame and video file option in VideoDataLayer

Commit:b05c992
Author:Wei Liu

add anno_type in AnnotatedDataParameter

Commit:89eace1
Author:Wei Liu

merge master and fix conflict

Commit:8865043
Author:Wei Liu

add color distortion options

Commit:bdb9457
Author:Alican Bozkurt

add default value for rms_decay

Commit:a53756a
Author:Wei Liu

add fix scale for FIT_SMALL_SIZE resize option

Commit:a911621
Author:Wei Liu

add resize parameter in detection output/evaluate layer

Commit:708a6ca
Author:Wei Liu

add options to provide img_size and step in PriorBoxLayer

Commit:c35c2db
Author:Wei Liu

change default value

Commit:768ce93
Author:Wei Liu

merge master and speed up nms

Commit:621130a
Author:Wei Liu

refactor MineHardExample function and add use_prior_for_nms option

Commit:032b10b
Author:Wei Liu

add OHEM method

Commit:59d48f2
Author:Wei Liu

add CORNER_SIZE code_type

Commit:084b630
Author:Wei Liu

add ignore_cross_boundary_bbox option

Commit:c3cc3df
Author:Wei Liu

add multiple scales for PriorBoxLayer

Commit:5f2d845
Author:Jeff Donahue
Committer:Jeff Donahue

Add RecurrentLayer: an abstract superclass for other recurrent layer types

Commit:c419f85
Author:Jonathan L Long
Committer:Jonathan L Long

add parameter layer for learning any bottom

Commit:859cf6e
Author:Kun Wang

Fix an error in the example of ReshapeParameter. * this small mistake may confuse newer.

Commit:f87f9ac
Author:Wei Liu

rebase master

Commit:77cde9c
Author:Jeff Donahue
Committer:Jeff Donahue

Net: setting `propagate_down: true` forces backprop

Commit:251ed5a
Author:Wei Liu

add webcam demo

Commit:337b075
Author:shai

upgrading InfogainLoss layer: (1) incorporating Softmax layer to make the gradeint computation robust, much like SoftmaxWithLoss layer (see: http://stackoverflow.com/a/34917052/1714410 for more information). (2) supporting loss along axis

Commit:3dd74cd
Author:Wei Liu

speed up nms and generate output for COCO

Commit:519a320
Author:Wei Liu

add map_object_to_agnostic to enable learning object proposal

Commit:64e78bd
Author:Jonathan L Long
Committer:max argus

add CropLayer: crop blob to another blob's dimensions with offsets configure offset(s) through proto definition.

Commit:952fd17
Author:max argus
Committer:max argus

Extend Crop to N-D, changed CropParameter.

Commit:ca9fa49
Author:max argus
Committer:max argus

Crop: fixes, tests and negative axis indexing.

Commit:31a9640
Author:Wei Liu

enable different choice of encoding the prior variance

Commit:d2ffca7
Author:Wei Liu

make variance repeated in PriorBoxLayer

Commit:984e302
Author:Wei Liu

merge master

Commit:bddd04b
Author:Evan Shelhamer
Committer:Evan Shelhamer

deprecate input fields and upgrade automagically

Commit:00598ca
Author:Evan Shelhamer
Committer:Evan Shelhamer

add InputLayer for Net input Create an input layer to replace oddball Net `input` fields.

Commit:06cb2f4
Author:Wei Liu

add more normalization to MultiBoxLoss

Commit:86f9e78
Author:Wei Liu

add logistic conf loss type

Commit:4e2173c
Author:Wei Liu

add keep_top_k in DetectionOutputLayer

Commit:8f847fa
Author:Youssef Kashef
Committer:Youssef Kashef

tranpose parameter added to IP layer to support tied weights in an autoencoder. Arguments to matrix multiplication function are conditioned on this parameter, no actual transposing takes place. test ip gradient computation with transpose on

Commit:a729366
Author:Wei Liu

add sampler and related functions

Commit:ba9e3f7
Author:Wei Liu

add support when evaluating on partial test data

Commit:a336f3e
Author:Wei Liu

add code_type

Commit:3b7f1a7
Author:Wei Liu

add variance and make max_size optional

Commit:c2a8dc8
Author:Wei Liu

add neg_overlap for selecting hard negatives

Commit:48ad4cc
Author:Wei Liu

do negative mining based on scores instead of overlap

Commit:3342f99
Author:Wei Liu

change type of size from int to float

Commit:3afdc26
Author:Wei Liu

add do_neg_mining in MultiBoxLossLayer

Commit:32ae638
Author:Wei Liu

add name_size_file in DetectionEvaluationLayer

Commit:70cd366
Author:Wei Liu

add SmoothL1LossLayer from Ross Girshick's Fast R-CNN

Commit:5f0643d
Author:Wei Liu

add MaxIntegral ap_version to match VOC2012/ILSVRC AP

Commit:2426d4e
Author:Wei Liu

add difficult property for bbox annotation

Commit:89380f1
Author:Wei Liu

set lr_mult to 0 instead of using fix_scale in NormalizeLayer to not learn scale parameter

Commit:a24f832
Author:Wei Liu

add num_classes in DetectionEvaluateLayer

Commit:b5419e3
Author:Wei Liu

add SaveOutputParameter in DetectionOutputLayer

Commit:900dee1
Author:Wei Liu

add NormalizeLayer from fcn branch

Commit:1ae883b
Author:Wei Liu

add change in proto for normalize option

Commit:e8415b1
Author:Wei Liu

add TestDetection

Commit:288493d
Author:Wei Liu

add DetectionEvaluateLayer with test

Commit:4427dac
Author:Wei Liu

add DetectionOutputLayer with test

Commit:8c488b6
Author:Wei Liu

add ApplyNMS and GetConfidenceScores to bbox_util

Commit:608d0aa
Author:Wei Liu

fix merge upstream conflict

Commit:a894b40
Author:Wei Liu

fix several bugs in MultiBoxLossLayer

Commit:b68695d
Author:Wei Liu

add PermuteLayer

Commit:2b762b0
Author:Wei Liu

fix merge upstream conflict

Commit:0816907
Author:Jeff Donahue
Committer:Jeff Donahue

Separation and generalization of ChannelwiseAffineLayer into BiasLayer and ScaleLayer. The behavior of ChannelwiseAffineLayer can be reproduced by a ScaleLayer with `scale_param { bias_term: true }`. BiasLayer and ScaleLayer each take 1 or 2 bottoms, with the output having the same shape as the first. The second input -- either another bottom or a learned parameter -- will have its axes (virtually) broadcast and tiled to have the same shape as the first, after which elementwise addition (Bias) or multiplication (Scale) is performed.

Commit:ec04197
Author:Dmytro Mishkin
Committer:Jeff Donahue

Add ChannelwiseAffine for batch norm

Commit:91676b3
Author:Wei Liu

put label_map_file in AnnotatedDataParameter

Commit:a7ac8bc
Author:Evan Shelhamer

Merge pull request #3388 from mohomran/exponential_linear_units Exponential Linear Units

Commit:bc15f86
Author:Wei Liu

add MultiBoxLossLayer and bbox_util

Commit:4a0c8a1
Author:Wei Liu

add PriorBoxLayer which generates priors from a layer

Commit:016c460
Author:Wei Liu

add LabelMap and tools for create DB to store AnnotatedDatum

Commit:de1342f
Author:Wei Liu

Add AnnotatedDataLayer

Commit:3e3e9ce
Author:Jonathan L Long
Committer:Jonathan L Long

add short description of dilation to caffe.proto

Commit:93bfcb5
Author:Fisher Yu
Committer:Jonathan L Long

add support for 2D dilated convolution

Commit:a668194
Author:Mohamed Omran
Committer:Mohamed Omran

ELU layer with basic tests

Commit:8b2aa70
Author:Carl Doersch
Committer:Carl Doersch

Better normalization options for SoftmaxWithLoss layer.

Commit:39f69fb
Author:Jeff Donahue

Merge pull request #3229 from cdoersch/batchnorm2 Yet another batch normalization PR

Commit:a52ee65
Author:Carl Doersch
Committer:Carl Doersch

Cleanup batch norm layer, include global stats computation

Commit:0eea815
Author:Ronghang Hu
Committer:Ronghang Hu

Change solver type to string and provide solver registry

Commit:321720d
Author:Evan Shelhamer

Merge pull request #3160 from shelhamer/cudnnV3 Basic cuDNN v3 support

Commit:ecac7ff
Author:Simon Layton
Committer:Evan Shelhamer

Initial cuDNN v3 support

Commit:6c02c8b
Author:Tim Meinhardt
Committer:Tim Meinhardt

Add argmax_param axis

Commit:9d8206e
Author:Jeff Donahue
Committer:Jeff Donahue

Im2col and Convolution layers support N spatial axes

Commit:4c2ff16
Author:Jeff Donahue
Committer:Jeff Donahue

caffe.proto: generalize ConvolutionParameter to N spatial axes