From 033e934ce82826c73d851098baf7ce4b1a27c89a Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Wed, 21 Feb 2018 16:14:01 +0000
Subject: [PATCH] If there is excessive GPU-RAM consumption by CUDNN then then do not use Workspace
---
src/yolo_v2_class.cpp | 10 ++++++----
1 files changed, 6 insertions(+), 4 deletions(-)
diff --git a/src/yolo_v2_class.cpp b/src/yolo_v2_class.cpp
index 91a5627..8ef5e93 100644
--- a/src/yolo_v2_class.cpp
+++ b/src/yolo_v2_class.cpp
@@ -33,7 +33,6 @@
unsigned int *track_id;
};
-
YOLODLL_API Detector::Detector(std::string cfg_filename, std::string weight_filename, int gpu_id) : cur_gpu_id(gpu_id)
{
wait_stream = 0;
@@ -252,7 +251,8 @@
return bbox_vec;
}
-YOLODLL_API std::vector<bbox_t> Detector::tracking_id(std::vector<bbox_t> cur_bbox_vec, int const frames_story, int const max_dist)
+YOLODLL_API std::vector<bbox_t> Detector::tracking_id(std::vector<bbox_t> cur_bbox_vec, bool const change_history,
+ int const frames_story, int const max_dist)
{
detector_gpu_t &det_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
@@ -301,8 +301,10 @@
if (cur_bbox_vec[i].track_id == 0)
cur_bbox_vec[i].track_id = det_gpu.track_id[cur_bbox_vec[i].obj_id]++;
- prev_bbox_vec_deque.push_front(cur_bbox_vec);
- if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
+ if (change_history) {
+ prev_bbox_vec_deque.push_front(cur_bbox_vec);
+ if (prev_bbox_vec_deque.size() > frames_story) prev_bbox_vec_deque.pop_back();
+ }
return cur_bbox_vec;
}
\ No newline at end of file
--
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