From e9d6e5a0b22a9f4768b8c04c9031ee8adb822ece Mon Sep 17 00:00:00 2001 From: Sergio Date: Tue, 7 Oct 2014 11:19:16 -0700 Subject: Add root_folder to ImageDataLayer --- src/caffe/layers/window_data_layer.cpp | 24 ++++++++++++++++++------ 1 file changed, 18 insertions(+), 6 deletions(-) (limited to 'src/caffe/layers/window_data_layer.cpp') diff --git a/src/caffe/layers/window_data_layer.cpp b/src/caffe/layers/window_data_layer.cpp index 47e0fb2a..8e656155 100644 --- a/src/caffe/layers/window_data_layer.cpp +++ b/src/caffe/layers/window_data_layer.cpp @@ -13,7 +13,9 @@ #include "caffe/common.hpp" #include "caffe/data_layers.hpp" #include "caffe/layer.hpp" +#ifdef TIMING #include "caffe/util/benchmark.hpp" +#endif #include "caffe/util/io.hpp" #include "caffe/util/math_functions.hpp" #include "caffe/util/rng.hpp" @@ -193,8 +195,13 @@ template void WindowDataLayer::InternalThreadEntry() { // At each iteration, sample N windows where N*p are foreground (object) // windows and N*(1-p) are background (non-object) windows + #ifdef TIMING Timer batch_timer; batch_timer.Start(); + float read_time = 0; + float trans_time = 0; + Timer timer; + #endif Dtype* top_data = this->prefetch_data_.mutable_cpu_data(); Dtype* top_label = this->prefetch_label_.mutable_cpu_data(); const Dtype scale = this->layer_param_.window_data_param().scale(); @@ -221,14 +228,13 @@ void WindowDataLayer::InternalThreadEntry() { const int num_samples[2] = { batch_size - num_fg, num_fg }; int item_id = 0; - float read_time = 0; - float trans_time = 0; - Timer timer; // sample from bg set then fg set for (int is_fg = 0; is_fg < 2; ++is_fg) { for (int dummy = 0; dummy < num_samples[is_fg]; ++dummy) { // sample a window + #ifdef TIMING timer.Start(); + #endif const unsigned int rand_index = PrefetchRand(); vector window = (is_fg) ? fg_windows_[rand_index % fg_windows_.size()] : @@ -245,8 +251,10 @@ void WindowDataLayer::InternalThreadEntry() { LOG(ERROR) << "Could not open or find file " << image.first; return; } + #ifdef TIMING read_time += timer.MilliSeconds(); timer.Start(); + #endif const int channels = cv_img.channels(); // crop window out of image and warp it @@ -364,7 +372,9 @@ void WindowDataLayer::InternalThreadEntry() { } } } + #ifdef TIMING trans_time += timer.MilliSeconds(); + #endif // get window label top_label[item_id] = window[WindowDataLayer::LABEL]; @@ -404,9 +414,11 @@ void WindowDataLayer::InternalThreadEntry() { item_id++; } } - DLOG(INFO) << "Prefetch batch: " << batch_timer.MilliSeconds() << "ms."; - DLOG(INFO) << "Read time: " << read_time << "ms."; - DLOG(INFO) << "Transform time: " << trans_time << "ms."; + #ifdef TIMING + LOG(INFO) << "Prefetch batch: " << batch_timer.MilliSeconds() << "ms."; + LOG(INFO) << "Read time: " << read_time << "ms."; + LOG(INFO) << "Transform time: " << trans_time << "ms."; + #endif } INSTANTIATE_CLASS(WindowDataLayer); -- cgit v1.2.3