From 178f26c8e6c9da2acbd96bdb9b92833900842ea7 Mon Sep 17 00:00:00 2001 From: Chris Date: Mon, 11 Sep 2017 17:38:16 -0600 Subject: [PATCH] Initial Code, needs cleanup --- annotations/.cbad_test_metrics.txt.swp | Bin 0 -> 12288 bytes annotations/cbad_test_annotator_1.txt | 200 +++ annotations/cbad_test_annotator_1_set2.txt | 200 +++ annotations/cbad_test_annotator_2.txt | 199 +++ annotations/cbad_train_annotator_1.txt | 1635 ++++++++++++++++++++ annotations/cbad_val_annotator_1.txt | 200 +++ annotations/cbad_val_annotator_1_set2.txt | 400 +++++ annotations/cbad_val_annotator_2.txt | 200 +++ annotations/ohio_test_annotator_2.txt | 100 ++ annotations/ohio_train_annotator_2.txt | 800 ++++++++++ annotations/ohio_val_annotator_2.txt | 100 ++ annotations/parzival_annotator_3.txt | 47 + annotations/parzival_annotator_4.csv | 47 + annotations/pmjt_annotator_3.txt | 140 ++ annotations/pmjt_annotator_4.txt | 140 ++ annotations/saintgall_annotator_3.txt | 60 + annotations/saintgall_annotator_4.csv | 60 + models/cbad_train_val.prototxt | 842 ++++++++++ models/cbad_weights.caffemodel | Bin 0 -> 4511246 bytes models/ohio_train_val.prototxt | 853 ++++++++++ models/ohio_weights.caffemodel | Bin 0 -> 4511419 bytes render_quads.py | 33 + test.py | 114 ++ train.py | 307 ++++ 24 files changed, 6677 insertions(+) create mode 100644 annotations/.cbad_test_metrics.txt.swp create mode 100644 annotations/cbad_test_annotator_1.txt create mode 100644 annotations/cbad_test_annotator_1_set2.txt create mode 100644 annotations/cbad_test_annotator_2.txt create mode 100644 annotations/cbad_train_annotator_1.txt create mode 100644 annotations/cbad_val_annotator_1.txt create mode 100644 annotations/cbad_val_annotator_1_set2.txt create mode 100644 annotations/cbad_val_annotator_2.txt create mode 100644 annotations/ohio_test_annotator_2.txt create mode 100644 annotations/ohio_train_annotator_2.txt create mode 100644 annotations/ohio_val_annotator_2.txt create mode 100644 annotations/parzival_annotator_3.txt create mode 100644 annotations/parzival_annotator_4.csv create mode 100644 annotations/pmjt_annotator_3.txt create mode 100644 annotations/pmjt_annotator_4.txt create mode 100644 annotations/saintgall_annotator_3.txt create mode 100644 annotations/saintgall_annotator_4.csv create mode 100644 models/cbad_train_val.prototxt create mode 100644 models/cbad_weights.caffemodel create mode 100644 models/ohio_train_val.prototxt create mode 100644 models/ohio_weights.caffemodel create mode 100644 render_quads.py create mode 100644 test.py create mode 100644 train.py diff --git a/annotations/.cbad_test_metrics.txt.swp b/annotations/.cbad_test_metrics.txt.swp new file mode 100644 index 0000000000000000000000000000000000000000..66cfe25025632b0c2e9da6806e0e5e0740f602a9 GIT binary patch literal 12288 zcmeI%Jx;?g7zW@kEKCRl3uAzp)Ull(XG0aB4n?R?B&I4&qc&21LXt{MZ~%_L#)RMs z3><+&z!_L^(y}lVb*%JSdS%)9{KZ8nM 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a/annotations/cbad_test_annotator_2.txt b/annotations/cbad_test_annotator_2.txt new file mode 100644 index 0000000..582cd6f --- /dev/null +++ b/annotations/cbad_test_annotator_2.txt @@ -0,0 +1,199 @@ +simple/unibas_e-Manuscripta/IMG_MAX_1433973.jpg,70,86,1477,98,1477,1864,56,1808, +complex/unibas_e-Manuscripta/IMG_MAX_743987.jpg,59,170,1306,166,1312,1855,45,1846, +complex/Bohisto_Bozen_SetP/HS29b_120_object_22059.jpg,29,119,2086,116,2181,3536,43,3555, +complex/EPFL_VTM_FirstTestCollection/438.jpg,1222,312,4747,286,4767,6243,1164,6308, +complex/HUB_Berlin_Humboldt/139a.jpg,12,9,2004,14,1992,2449,4,2454, +complex/HUB_Berlin_Humboldt/00000221.jpg,132,140,4631,124,4689,8122,107,8097, +simple/NAF_FirstTestCollection/0785.jpg,39,52,2565,70,2481,4350,44,4346, +complex/ABP_FirstTestCollection/RM_Freyung_028_0044.jpg,37,53,2086,50,2076,3318,37,3332, +complex/ABP_FirstTestCollection/S_Freyung_019_0465.jpg,6,62,1622,34,1671,2080,29,2088, 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"Convolution1" + type: "Convolution" + bottom: "data" + top: "Convolution1" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_0" + type: "ReLU" + bottom: "Convolution1" + top: "Convolution1" +} +layer { + name: "Convolution2" + type: "Convolution" + bottom: "Convolution1" + top: "Convolution2" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_1" + type: "ReLU" + bottom: "Convolution2" + top: "Convolution2" +} +layer { + name: "Convolution3" + type: "Convolution" + bottom: "Convolution2" + top: "Convolution3" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_2" + type: "ReLU" + bottom: "Convolution3" + top: "Convolution3" +} +layer { + name: "Convolution4" + type: "Convolution" + bottom: "Convolution3" + top: "Convolution4" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_3" + type: "ReLU" + bottom: "Convolution4" + top: "Convolution4" +} +layer { + name: "Convolution5" + type: "Convolution" + bottom: "Convolution4" + top: "Convolution5" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_4" + type: "ReLU" + bottom: "Convolution5" + top: "Convolution5" +} +layer { + name: "Convolution6" + type: "Convolution" + bottom: "Convolution5" + top: "Convolution6" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_5" + type: "ReLU" + bottom: "Convolution6" + top: "Convolution6" +} +layer { + name: "Convolution7" + type: "Convolution" + bottom: "Convolution6" + top: "Convolution7" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_0_6" + type: "ReLU" + bottom: "Convolution7" + top: "Convolution7" +} +layer { + name: "Pooling1" + type: "Pooling" + bottom: "Convolution1" + top: "Pooling1" + pooling_param { + pool: AVE + kernel_size: 2 + stride: 2 + } +} +layer { + name: "Convolution8" + type: "Convolution" + bottom: "Pooling1" + top: "Convolution8" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_0" + type: "ReLU" + bottom: "Convolution8" + top: "Convolution8" +} +layer { + name: "Convolution9" + type: "Convolution" + bottom: "Convolution8" + top: "Convolution9" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_1" + type: "ReLU" + bottom: "Convolution9" + top: "Convolution9" +} +layer { + name: "Convolution10" + type: "Convolution" + bottom: "Convolution9" + top: "Convolution10" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_2" + type: "ReLU" + bottom: "Convolution10" + top: "Convolution10" +} +layer { + name: "Convolution11" + type: "Convolution" + bottom: "Convolution10" + top: "Convolution11" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_3" + type: "ReLU" + bottom: "Convolution11" + top: "Convolution11" +} +layer { + name: "Convolution12" + type: "Convolution" + bottom: "Convolution11" + top: "Convolution12" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_4" + type: "ReLU" + bottom: "Convolution12" + top: "Convolution12" +} +layer { + name: "Convolution13" + type: "Convolution" + bottom: "Convolution12" + top: "Convolution13" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_1_5" + type: "ReLU" + bottom: "Convolution13" + top: "Convolution13" +} +layer { + name: "Pooling2" + type: "Pooling" + bottom: "Convolution8" + top: "Pooling2" + pooling_param { + pool: AVE + kernel_size: 2 + stride: 2 + } +} +layer { + name: "Convolution14" + type: "Convolution" + bottom: "Pooling2" + top: "Convolution14" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_2_0" + type: "ReLU" + bottom: "Convolution14" + top: "Convolution14" +} +layer { + name: "Convolution15" + type: "Convolution" + bottom: "Convolution14" + top: "Convolution15" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_2_1" + type: "ReLU" + bottom: "Convolution15" + top: "Convolution15" +} +layer { + name: "Convolution16" + type: "Convolution" + bottom: "Convolution15" + top: "Convolution16" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_2_2" + type: "ReLU" + bottom: "Convolution16" + top: "Convolution16" +} +layer { + name: "Convolution17" + type: "Convolution" + bottom: "Convolution16" + top: "Convolution17" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_2_3" + type: "ReLU" + bottom: "Convolution17" + top: "Convolution17" +} +layer { + name: "Convolution18" + type: "Convolution" + bottom: "Convolution17" + top: "Convolution18" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_2_4" + type: "ReLU" + bottom: "Convolution18" + top: "Convolution18" +} +layer { + name: "Pooling3" + type: "Pooling" + bottom: "Convolution14" + top: "Pooling3" + pooling_param { + pool: AVE + kernel_size: 2 + stride: 2 + } +} +layer { + name: "Convolution19" + type: "Convolution" + bottom: "Pooling3" + top: "Convolution19" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_3_0" + type: "ReLU" + bottom: "Convolution19" + top: "Convolution19" +} +layer { + name: "Convolution20" + type: "Convolution" + bottom: "Convolution19" + top: "Convolution20" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_3_1" + type: "ReLU" + bottom: "Convolution20" + top: "Convolution20" +} +layer { + name: "Convolution21" + type: "Convolution" + bottom: "Convolution20" + top: "Convolution21" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_3_2" + type: "ReLU" + bottom: "Convolution21" + top: "Convolution21" +} +layer { + name: "Convolution22" + type: "Convolution" + bottom: "Convolution21" + top: "Convolution22" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "conv_3_3" + type: "ReLU" + bottom: "Convolution22" + top: "Convolution22" +} +layer { + name: "upsample_1" + type: "Deconvolution" + bottom: "Convolution13" + top: "upsample_1" + param { + lr_mult: 0 + decay_mult: 0 + } + convolution_param { + kernel_size: 4 + num_output: 32 + group: 32 + stride: 2 + pad: 1 + weight_filler: { type: 'bilinear' } + bias_term: false + } +} +layer { + name: "upsample_2" + type: "Deconvolution" + bottom: "Convolution18" + top: "upsample_2" + param { + lr_mult: 0 + decay_mult: 0 + } + convolution_param { + kernel_size: 8 + num_output: 32 + group: 32 + stride: 4 + pad: 2 + weight_filler: { type: 'bilinear' } + bias_term: false + } +} +layer { + name: "upsample_3" + type: "Deconvolution" + bottom: "Convolution22" + top: "upsample_3" + param { + lr_mult: 0 + decay_mult: 0 + } + convolution_param { + kernel_size: 16 + num_output: 32 + group: 32 + stride: 8 + pad: 4 + weight_filler: { type: 'bilinear' } + bias_term: false + } +} +layer { + name: "merged" + type: "Concat" + bottom: "Convolution7" + bottom: "upsample_1" + bottom: "upsample_2" + bottom: "upsample_3" + top: "merged" +} +layer { + name: "Convolution26" + type: "Convolution" + bottom: "merged" + top: "Convolution26" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 3 + kernel_size: 7 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "merged_conv" + type: "ReLU" + bottom: "Convolution26" + top: "Convolution26" +} +layer { + name: "Convolution27" + type: "Convolution" + bottom: "Convolution26" + top: "Convolution27" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "ReLU1" + type: "ReLU" + bottom: "Convolution27" + top: "Convolution27" +} +layer { + name: "Convolution28" + type: "Convolution" + bottom: "Convolution27" + top: "Convolution28" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "rep_layer_0" + type: "ReLU" + bottom: "Convolution28" + top: "Convolution28" +} +layer { + name: "Convolution29" + type: "Convolution" + bottom: "Convolution28" + top: "Convolution29" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 32 + pad: 2 + kernel_size: 5 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "ReLU2" + type: "ReLU" + bottom: "Convolution29" + top: "Convolution29" +} +layer { + name: "Convolution30" + type: "Convolution" + bottom: "Convolution29" + top: "out" + param { + lr_mult: 1 + } + param { + lr_mult: 2 + } + convolution_param { + num_output: 2 + pad: 0 + kernel_size: 1 + stride: 1 + weight_filler { + type: "msra" + } + } +} +layer { + name: "baselines_7_loss_0" + type: "SoftmaxWithLoss" + bottom: "out" + bottom: "gt" + top: "loss" + loss_weight: 1.0 +} diff --git a/models/cbad_weights.caffemodel b/models/cbad_weights.caffemodel new file mode 100644 index 0000000000000000000000000000000000000000..273d7475492d036d98c7ee48a0045ccd5e8ec199 GIT binary patch literal 4511246 zcmY(KcQ{vX{Qt?GB{NaBh%~MD{krifqarCqk!aA;-l@n)naM6031t(?`@C)=mC-O8 zigsE;iFQA~-|wIA_pfuEbKU1U*LBW)KhOPoJ|8bh0af7*K6`ys$NBBe677!{l$4&o zWBdLc+xG3M0-1X}&SgMhVV*lI znhT30T&dXtdpfs4f<|sMVzC1nbcqXjp%Tta`- 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