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*Total -- 31,025.07kb -> 28,657.74kb (7.63%) /macro_benchmark/BERT_Tensorflow/data/images/images_nvlamb.png -- 86.10kb -> 32.65kb (62.08%) /macro_benchmark/BERT_PyTorch/images/nvlamb.png -- 86.10kb -> 32.65kb (62.08%) /macro_benchmark/CRNN/data/test_images/test_pdf_2.png -- 265.92kb -> 112.49kb (57.7%) /macro_benchmark/CRNN/data/test_images/test_pdf.png -- 247.26kb -> 105.66kb (57.27%) /macro_benchmark/Mask_RCNN/assets/detection_histograms.png -- 13.43kb -> 6.23kb (53.62%) /macro_benchmark/SSD_ResNet50_PyTorch/img/ssd_diagram.png -- 51.71kb -> 26.76kb (48.25%) /macro_benchmark/BERT_Tensorflow/data/images/bert_pipeline.png -- 207.54kb -> 133.29kb (35.77%) /macro_benchmark/Mask_RCNN/assets/detection_tensorboard.png -- 43.08kb -> 28.14kb (34.69%) /macro_benchmark/SSD_VGG16_Caffe/docs/images/GitHub-Mark-64px.png -- 2.56kb -> 1.76kb (31.35%) /macro_benchmark/DSSD/docs/images/GitHub-Mark-64px.png -- 2.56kb -> 1.76kb (31.35%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/docs/images/GitHub-Mark-64px.png -- 2.56kb -> 1.76kb (31.35%) /macro_benchmark/CNN_PyTorch/RN50v1.5/img/DGX2_250_loss.png -- 30.17kb -> 21.27kb (29.5%) /macro_benchmark/NMT/nmt/g3doc/img/attention_vis.jpg -- 146.56kb -> 105.43kb (28.06%) /macro_benchmark/Mask_RCNN/assets/mapping_challenge.png -- 613.20kb -> 450.15kb (26.59%) /macro_benchmark/CNN_PyTorch/RN50v1.5/img/DGX2_250_top1.png -- 36.13kb -> 26.65kb (26.22%) /macro_benchmark/CNN_PyTorch/RN50v1.5/img/DGX2_250_top5.png -- 33.82kb -> 25.56kb (24.44%) /macro_benchmark/CRNN/data/test_images/test_01.jpg -- 1.35kb -> 1.03kb (23.55%) /macro_benchmark/SSD_VGG16_Caffe/docs/images/caffeine-icon.png -- 0.93kb -> 0.72kb (22.33%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/docs/images/caffeine-icon.png -- 0.93kb -> 0.72kb (22.33%) /macro_benchmark/DSSD/docs/images/caffeine-icon.png -- 0.93kb -> 0.72kb (22.33%) /macro_benchmark/CRNN/data/test_images/test_03.jpg -- 1.48kb -> 1.16kb (21.72%) 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/macro_benchmark/CRNN/data/test_images/test_06.jpg -- 1.96kb -> 1.63kb (16.74%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/docs/tutorial/fig/backward.jpg -- 102.56kb -> 85.92kb (16.22%) /macro_benchmark/DSSD/docs/tutorial/fig/backward.jpg -- 102.56kb -> 85.92kb (16.22%) /macro_benchmark/SSD_VGG16_Caffe/docs/tutorial/fig/backward.jpg -- 102.56kb -> 85.92kb (16.22%) /macro_benchmark/CRNN/data/images/evaluate_result.png -- 224.42kb -> 189.38kb (15.61%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/docs/tutorial/fig/logreg.jpg -- 41.96kb -> 35.53kb (15.33%) /macro_benchmark/SSD_VGG16_Caffe/docs/tutorial/fig/logreg.jpg -- 41.96kb -> 35.53kb (15.33%) /macro_benchmark/DSSD/docs/tutorial/fig/logreg.jpg -- 41.96kb -> 35.53kb (15.33%) /macro_benchmark/CRNN/data/test_images/test_04.jpg -- 2.33kb -> 1.99kb (14.83%) /macro_benchmark/CRNN/data/test_images/test_02.jpg -- 2.39kb -> 2.03kb (14.81%) /macro_benchmark/NMT/nmt/g3doc/img/greedy_dec.jpg -- 47.23kb -> 40.46kb (14.33%) /macro_benchmark/NMT/nmt/g3doc/img/seq2seq.jpg -- 57.15kb -> 49.06kb (14.16%) /macro_benchmark/NMT/nmt/g3doc/img/attention_equation_1.jpg -- 41.31kb -> 35.46kb (14.14%) /macro_benchmark/CRNN/data/images/test_output_2.png -- 213.75kb -> 186.86kb (12.58%) /macro_benchmark/CRNN/data/images/test_output_3.png -- 216.76kb -> 190.27kb (12.22%) /macro_benchmark/CRNN/data/images/evaluate_output.png -- 170.41kb -> 149.68kb (12.16%) /macro_benchmark/CRNN/data/images/test_output_1.png -- 212.19kb -> 186.53kb (12.09%) /macro_benchmark/NMT/nmt/g3doc/img/attention_mechanism.jpg -- 46.47kb -> 41.17kb (11.41%) /macro_benchmark/CRNN/data/test_images/test_05.jpg -- 2.94kb -> 2.61kb (11.27%) /macro_benchmark/CRNN/data/images/test_output_5.png -- 205.33kb -> 182.89kb (10.93%) /macro_benchmark/SSD_Tensorflow/demo/000002.jpg -- 110.64kb -> 98.82kb (10.69%) /macro_benchmark/CRNN/data/images/test_output_4.png -- 197.94kb -> 177.11kb (10.52%) /macro_benchmark/SSD_Tensorflow/demo/000010.jpg -- 103.52kb -> 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/macro_benchmark/SSD_Tensorflow/demo/000001.jpg -- 76.92kb -> 71.17kb (7.49%) /macro_benchmark/SSD_Tensorflow/demo/000008.jpg -- 80.76kb -> 75.21kb (6.88%) /macro_benchmark/SSD_Tensorflow/demo/person.jpg -- 111.21kb -> 103.71kb (6.74%) /macro_benchmark/Mask_RCNN/images/3132016470_c27baa00e8_z.jpg -- 169.62kb -> 158.71kb (6.43%) /macro_benchmark/Mask_RCNN/images/9247489789_132c0d534a_z.jpg -- 282.17kb -> 264.81kb (6.15%) /macro_benchmark/CRNN/data/images/evaluate_confusion_matrix.png -- 62.72kb -> 58.92kb (6.05%) /macro_benchmark/Mask_RCNN/images/7933423348_c30bd9bd4e_z.jpg -- 208.56kb -> 196.33kb (5.86%) /macro_benchmark/Mask_RCNN/images/6821351586_59aa0dc110_z.jpg -- 212.46kb -> 200.51kb (5.63%) /macro_benchmark/SSD_Tensorflow/demo/horses.jpg -- 130.37kb -> 123.05kb (5.61%) /macro_benchmark/DSSD/examples/images/cat_gray.jpg -- 90.55kb -> 85.60kb (5.47%) /macro_benchmark/DSSD/examples/images/cat gray.jpg -- 90.55kb -> 85.60kb (5.47%) /macro_benchmark/SSD_VGG16_Caffe/examples/images/cat_gray.jpg -- 90.55kb -> 85.60kb (5.47%) /macro_benchmark/SSD_VGG16_Caffe/examples/images/cat gray.jpg -- 90.55kb -> 85.60kb (5.47%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/examples/images/cat_gray.jpg -- 90.55kb -> 85.60kb (5.47%) /macro_benchmark/Mask_RCNN/images/2383514521_1fc8d7b0de_z.jpg -- 203.23kb -> 192.29kb (5.38%) /macro_benchmark/Mask_RCNN/images/6584515005_fce9cec486_z.jpg -- 142.24kb -> 134.61kb (5.36%) /macro_benchmark/Mask_RCNN/images/8433365521_9252889f9a_z.jpg -- 177.85kb -> 168.33kb (5.35%) /macro_benchmark/Mask_RCNN/images/3627527276_6fe8cd9bfe_z.jpg -- 157.16kb -> 148.85kb (5.29%) /macro_benchmark/Mask_RCNN/images/2516944023_d00345997d_z.jpg -- 176.98kb -> 167.64kb (5.27%) /macro_benchmark/DSSD/examples/images/cat.jpg -- 137.10kb -> 129.98kb (5.19%) /macro_benchmark/SSD_VGG16_Caffe/examples/images/cat.jpg -- 137.10kb -> 129.98kb (5.19%) /macro_benchmark/Faster_RCNN/caffe-fast-rcnn/examples/images/cat.jpg -- 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/macro_benchmark/DSSD/examples/images/fish-bike.jpg -- 46.52kb -> 44.91kb (3.46%) /macro_benchmark/Mask_RCNN/images/2502287818_41e4b0c4fb_z.jpg -- 130.58kb -> 126.26kb (3.31%) /macro_benchmark/Mask_RCNN/images/3862500489_6fd195d183_z.jpg -- 94.01kb -> 91.30kb (2.88%) /macro_benchmark/Mask_RCNN/assets/detection_masks.png -- 9.75kb -> 9.47kb (2.82%) /macro_benchmark/Mask_RCNN/images/4410436637_7b0ca36ee7_z.jpg -- 123.79kb -> 120.47kb (2.68%) /macro_benchmark/BERT_PyTorch/images/model.png -- 56.50kb -> 55.15kb (2.39%) /macro_benchmark/CRNN/data/images/avg_train_loss.png -- 68.65kb -> 67.07kb (2.31%) /macro_benchmark/CRNN/data/images/avg_val_loss_cn.png -- 41.48kb -> 40.61kb (2.11%) /macro_benchmark/CRNN/data/images/avg_train_loss_cn.png -- 42.68kb -> 41.85kb (1.95%) /macro_benchmark/CRNN/data/images/avg_val_loss.png -- 42.53kb -> 41.72kb (1.89%) /macro_benchmark/Mask_RCNN/assets/detection_final.png -- 887.11kb -> 871.45kb (1.77%) /macro_benchmark/Mask_RCNN/assets/detection_activations.png -- 69.11kb -> 67.92kb (1.73%) /macro_benchmark/SSD_Tensorflow/pictures/ex2.png -- 410.35kb -> 404.42kb (1.44%) /macro_benchmark/SSD_Tensorflow/pictures/ex1.png -- 398.31kb -> 393.50kb (1.21%) /macro_benchmark/Mask_RCNN/assets/detection_refinement.png -- 702.75kb -> 694.57kb (1.16%) /macro_benchmark/Mask_RCNN/images/12283150_12d37e6389_z.jpg -- 66.75kb -> 66.00kb (1.13%) /macro_benchmark/Mask_RCNN/assets/detection_anchors.png -- 746.79kb -> 739.00kb (1.04%) /macro_benchmark/Mask_RCNN_PyTorch/demo/demo_e2e_mask_rcnn_X_101_32x8d_FPN_1x.png -- 894.07kb -> 886.23kb (0.88%) /macro_benchmark/Mask_RCNN/assets/images_to_osm.png -- 983.02kb -> 974.56kb (0.86%) /macro_benchmark/Mask_RCNN_PyTorch/demo/demo_e2e_mask_rcnn_R_50_FPN_1x.png -- 898.65kb -> 890.92kb (0.86%) /macro_benchmark/BERT_Tensorflow/data/images/trtis_bs_8.png -- 16.95kb -> 16.83kb (0.7%) /macro_benchmark/BERT_Tensorflow/data/images/trtis_dynamic.png -- 20.43kb -> 20.34kb (0.42%) /macro_benchmark/Mask_RCNN/assets/nucleus_segmentation.png -- 708.45kb -> 706.25kb (0.31%) Signed-off-by: ImgBotApp <[email protected]>
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Beep boop. Your images are optimized!
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