mirror/darknet
1
0
Fork 0
mirror of https://github.com/pjreddie/darknet.git synced 2023-08-10 21:13:14 +03:00
Code Issues Projects Releases Wiki Activity

Fixed darknet.py - uses batch=1 by default

Browse Source
This commit is contained in:
AlexeyAB
2018-05-16 15:05:46 +03:00
parent 573d7e8081
commit 89c11f83ed
6 changed files with 30 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
build/darknet/x64/darknet.py
View File

@ -160,6 +160,10 @@ load_net = lib.load_network
load_net.argtypes = [c_char_p, c_char_p, c_int]
load_net.restype = c_void_p
load_net_custom = lib.load_network_custom
load_net_custom.argtypes = [c_char_p, c_char_p, c_int, c_int]
load_net_custom.restype = c_void_p
do_nms_obj = lib.do_nms_obj
do_nms_obj.argtypes = [POINTER(DETECTION), c_int, c_int, c_float]
@ -325,7 +329,7 @@ def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yo
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `"+os.path.abspath(metaPath)+"`")
if netMain is None:
netMain = load_net(configPath.encode("ascii"), weightPath.encode("ascii"), 0)
netMain = load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1
if metaMain is None:
metaMain = load_meta(metaPath.encode("ascii"))
if altNames is None:

8
build/darknet/x64/darknet_python.cmd
View File

@ -6,4 +6,12 @@ rem C:\Python27\Scripts\pip install scipy
C:\Python27\python.exe darknet.py
rem Python 3.6
rem C:\Users\Alex\AppData\Local\Programs\Python\Python36\Scripts\pip install numpy
rem C:\Users\Alex\AppData\Local\Programs\Python\Python36\Scripts\pip install scikit-image
rem C:\Users\Alex\AppData\Local\Programs\Python\Python36\Scripts\pip install scipy
rem C:\Users\Alex\AppData\Local\Programs\Python\Python36\python.exe darknet.py
pause

6
darknet.py
View File

@ -160,6 +160,10 @@ load_net = lib.load_network
load_net.argtypes = [c_char_p, c_char_p, c_int]
load_net.restype = c_void_p
load_net_custom = lib.load_network_custom
load_net_custom.argtypes = [c_char_p, c_char_p, c_int, c_int]
load_net_custom.restype = c_void_p
do_nms_obj = lib.do_nms_obj
do_nms_obj.argtypes = [POINTER(DETECTION), c_int, c_int, c_float]
@ -325,7 +329,7 @@ def performDetect(imagePath="data/dog.jpg", thresh= 0.25, configPath = "./cfg/yo
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `"+os.path.abspath(metaPath)+"`")
if netMain is None:
netMain = load_net(configPath.encode("ascii"), weightPath.encode("ascii"), 0)
netMain = load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1
if metaMain is None:
metaMain = load_meta(metaPath.encode("ascii"))
if altNames is None:

5
src/data.c
View File

@ -137,7 +137,10 @@ box_label *read_boxes(char *filename, int *n)
{
box_label *boxes = calloc(1, sizeof(box_label));
FILE *file = fopen(filename, "r");
if(!file) file_error(filename);
if (!file) {
printf("Can't open label file. \n");
file_error(filename);
}
float x, y, h, w;
int id;
int count = 0;

9
src/network.c
View File

@ -30,11 +30,11 @@
#include "yolo_layer.h"
#include "parser.h"
network *load_network(char *cfg, char *weights, int clear)
network *load_network_custom(char *cfg, char *weights, int clear, int batch)
{
printf(" Try to load cfg: %s, weights: %s, clear = %d \n", cfg, weights, clear);
network *net = calloc(1, sizeof(network));
*net = parse_network_cfg(cfg);
*net = parse_network_cfg_custom(cfg, batch);
if (weights && weights[0] != 0) {
load_weights(net, weights);
}
@ -42,6 +42,11 @@ network *load_network(char *cfg, char *weights, int clear)
return net;
}
network *load_network(char *cfg, char *weights, int clear)
{
return load_network_custom(cfg, weights, clear, 0);
}
int get_current_batch(network net)
{
int batch_num = (*net.seen)/(net.batch*net.subdivisions);

1
src/network.h
View File

@ -138,6 +138,7 @@ YOLODLL_API detection *get_network_boxes(network *net, int w, int h, float thres
YOLODLL_API detection *make_network_boxes(network *net, float thresh, int *num);
YOLODLL_API void free_detections(detection *dets, int n);
YOLODLL_API void reset_rnn(network *net);
YOLODLL_API network *load_network_custom(char *cfg, char *weights, int clear, int batch);
YOLODLL_API network *load_network(char *cfg, char *weights, int clear);
YOLODLL_API float *network_predict_image(network *net, image im);
YOLODLL_API void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, int ngpus, int clear, int dont_show);