add kitti tracking vgg

fast-rcnn/experiments/cfgs/kitti_tracking_multiscale_vgg16.yml

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+EXP_DIR: kitti_tracking
+IS_RPN: False
+IS_MULTISCALE: True
+REGION_PROPOSAL: 'RPN'
+TRAIN:
+  SCALES_BASE: !!python/tuple [3.0]
+  NUM_PER_OCTAVE: 1
+  IMS_PER_BATCH: 2
+  FG_FRACTION: 0.25
+  FG_THRESH: !!python/tuple [0.7, 0.5, 0.5]
+  BG_THRESH_HI: !!python/tuple [0.7, 0.5, 0.5]
+  BG_THRESH_LO: !!python/tuple [0.1, 0.1, 0.1]
+  BBOX_THRESH: !!python/tuple [0.7, 0.5, 0.5]
+  ROI_THRESHOLD: 0.01
+  SNAPSHOT_INFIX: kitti
+TEST:
+  SCALES_BASE: !!python/tuple [3.0]
+  NUM_PER_OCTAVE: 1
+  NMS: 0.5

fast-rcnn/experiments/scripts/kitti_tracking_test_vgg16_rcnn_multiscale.sh

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+#!/bin/bash
+
+set -x
+set -e
+
+export PYTHONUNBUFFERED="True"
+
+LOG="experiments/logs/kitti_tracking_test_vgg16_rcnn_multiscale.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/train_net.py --gpu $1 \
+  --solver models/VGG16/kitti_tracking_test/solver_rcnn_multiscale.prototxt \
+  --weights data/imagenet_models/VGG16.v2.caffemodel \
+  --imdb kitti_tracking_training_trainval \
+  --cfg experiments/cfgs/kitti_tracking_multiscale_vgg16.yml \
+  --iters 80000
+
+image_set="testing"
+
+for i in {0..28}
+do
+
+seq_num=$(printf '%04d' "$i")
+echo $seq_num
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/VGG16/kitti_tracking_test/test_rcnn_multiscale.prototxt \
+  --net output/kitti_tracking/kitti_tracking_training_trainval/vgg16_fast_rcnn_multiscale_trainval_kitti_iter_80000.caffemodel \
+  --imdb kitti_tracking_$image_set\_$seq_num \
+  --cfg experiments/cfgs/kitti_tracking_multiscale_vgg16.yml
+
+# copy the detection result
+cp output/kitti_tracking/kitti_tracking_$image_set\_$seq_num/vgg16_fast_rcnn_multiscale_trainval_kitti_iter_80000/$seq_num.txt data/KITTI_Tracking/detection_trainval_vgg16/$image_set
+
+done

fast-rcnn/models/VGG16/kitti_tracking_test/solver_rcnn_multiscale.prototxt

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+train_net: "models/VGG16/kitti_tracking_test/train_rcnn_multiscale.prototxt"
+base_lr: 0.001
+lr_policy: "step"
+gamma: 0.1
+stepsize: 60000
+display: 20
+average_loss: 100
+momentum: 0.9
+weight_decay: 0.0005
+# We disable standard caffe solver snapshotting and implement our own snapshot
+# function
+snapshot: 0
+# We still use the snapshot prefix, though
+snapshot_prefix: "vgg16_fast_rcnn_multiscale_trainval"
+#debug_info: true