mirror of
https://github.com/pjreddie/darknet.git
synced 2023-08-10 21:13:14 +03:00
Some fixes
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@ -84,7 +84,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
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args.num_boxes = l.max_boxes;
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args.d = &buffer;
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args.type = DETECTION_DATA;
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args.threads = 8;
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args.threads = 4;// 8;
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args.angle = net.angle;
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args.exposure = net.exposure;
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@ -50,6 +50,7 @@ float get_current_rate(network net)
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int batch_num = get_current_batch(net);
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int i;
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float rate;
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if (batch_num < net.burn_in) return net.learning_rate * pow((float)batch_num / net.burn_in, net.power);
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switch (net.policy) {
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case CONSTANT:
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return net.learning_rate;
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@ -66,8 +67,9 @@ float get_current_rate(network net)
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case EXP:
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return net.learning_rate * pow(net.gamma, batch_num);
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case POLY:
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if (batch_num < net.burn_in) return net.learning_rate * pow((float)batch_num / net.burn_in, net.power);
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return net.learning_rate * pow(1 - (float)batch_num / net.max_batches, net.power);
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return net.learning_rate * pow(1 - (float)batch_num / net.max_batches, net.power);
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//if (batch_num < net.burn_in) return net.learning_rate * pow((float)batch_num / net.burn_in, net.power);
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//return net.learning_rate * pow(1 - (float)batch_num / net.max_batches, net.power);
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case RANDOM:
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return net.learning_rate * pow(rand_uniform(0,1), net.power);
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case SIG:
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@ -532,6 +532,7 @@ void parse_net_options(list *options, network *net)
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net->saturation = option_find_float_quiet(options, "saturation", 1);
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net->exposure = option_find_float_quiet(options, "exposure", 1);
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net->hue = option_find_float_quiet(options, "hue", 0);
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net->power = option_find_float_quiet(options, "power", 4);
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if(!net->inputs && !(net->h && net->w && net->c)) error("No input parameters supplied");
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@ -571,7 +572,7 @@ void parse_net_options(list *options, network *net)
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net->gamma = option_find_float(options, "gamma", 1);
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net->step = option_find_int(options, "step", 1);
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} else if (net->policy == POLY || net->policy == RANDOM){
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net->power = option_find_float(options, "power", 1);
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//net->power = option_find_float(options, "power", 1);
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}
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net->max_batches = option_find_int(options, "max_batches", 0);
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}
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@ -233,8 +233,9 @@ public:
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update_cur_bbox_vec(_cur_bbox_vec);
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//src_grey_gpu.upload(src_mat, stream); // use BGR
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src_mat_gpu.upload(src_mat, stream);
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cv::cuda::cvtColor(src_mat_gpu, src_grey_gpu, CV_BGR2GRAY, 0, stream);
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cv::cuda::cvtColor(src_mat_gpu, src_grey_gpu, CV_BGR2GRAY, 1, stream);
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}
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if (old_gpu_id != gpu_id)
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cv::cuda::setDevice(old_gpu_id);
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@ -257,9 +258,9 @@ public:
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dst_grey_gpu = cv::cuda::GpuMat(dst_mat.size(), CV_8UC1);
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}
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//dst_grey_gpu.upload(dst_mat, stream); // use BGR
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dst_mat_gpu.upload(dst_mat, stream);
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cv::cuda::cvtColor(dst_mat_gpu, dst_grey_gpu, CV_BGR2GRAY, 0, stream);
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cv::cuda::cvtColor(dst_mat_gpu, dst_grey_gpu, CV_BGR2GRAY, 1, stream);
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if (src_grey_gpu.rows != dst_grey_gpu.rows || src_grey_gpu.cols != dst_grey_gpu.cols) {
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stream.waitForCompletion();
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