def YOLO(self): # 此函数用于darknet所需文件的路径声明&打开摄像头等功能
global metaMain, netMain, altNames # darknet框架自带变量，将其声明为全局变量
#############################################################################################################################
# 更改以下三个配置文件&查看一个配置文件，重要！！！
#############################################################################################################################
configPath = "./yolov3-tiny.cfg" # 配置cfg文件的路径
weightPath = "./yolov3-tiny_final.weights" # 配置weight文件的路径
metaPath = "./voc.data" # 配置data文件的路径（切忌查看data文件内定义的name文件的路径&内容是否与实际相对应）
if not os.path.exists(configPath): # 判断cfg文件是否存在
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`") # 若不存在，则报错
if not os.path.exists(weightPath): # 判断weight文件是否存在
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`") # 若不存在，则报错
if not os.path.exists(metaPath): # 判断data文件是否存在
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`") # 若不存在，则报错
if netMain is None: # 判断netMain是否为None
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1 导入weight模型文件
if metaMain is None: # 判断netMain是否为None
metaMain = darknet.load_meta(metaPath.encode("ascii")) # 导入data配置文件
if altNames is None: # 判断netMain是否为None
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
self.cap = cv2.VideoCapture(
"rtsp:192.168.1.211/user=admin&password=&channel=1&stream=0.sdp?"
) # 设定USB摄像头端口为0，使用opencv打开摄像头
if self.cap.isOpened() == 0: # 判断USB摄像头是否被打开，如果未打开，则更换摄像头端口
self.cap = cv2.VideoCapture(1) # 更换USB摄像头端口为1
self.cap.set(3, 768) # 设定摄像头视频流尺寸
self.cap.set(4, 1024) # 设定摄像头视频流尺寸
print(
"Starting the YOLO loop...") # 在终端打印此消息，便于调试；此位置代表摄像头已被打开，即将进入YOLO检测环节
self.camera_state = 1 # 设定摄像头状态为1，便于Log档记录
# Create an image we reuse for each detect
self.darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
self.camera_state = 1 # 设定摄像头状态为1，便于Log档记录
def load_network(self, configPath, weightPath, metaPath):
'''
Initializes the darknet
'''
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
metaMain = darknet.load_meta(metaPath.encode("ascii"))
# Create an image we reuse for each detect
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
return netMain, metaMain, darknet_image
def __init__(self, videoPth, saveImgFolder='', duration=None):
self.video = VideoFileClip(videoPth)
if duration is not None:
self.video = self.video.subclip(duration[0], duration[1])
self._saveImgFolder = saveImgFolder
# Load yolo
self.netMain = load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0, 1)
self.metaMain = load_meta(metaPath.encode("ascii"))
altNames = None
if altNames is None:
# In Python 3, the metafile default access craps out on Windows (but not Linux)
# Read the names file and create a list to feed to detect
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def configure(config_path, weights_path, meta_path):
# As we are modifying them from darknet
global netMain, metaMain, altNames
if not os.path.exists(config_path):
raiseInvalidFile("config", os.path.abspath(config_path))
if not os.path.exists(weights_path):
raiseInvalidFile("weights", os.path.abspath(weights_path))
if not os.path.exists(meta_path):
raiseInvalidFile("meta", os.path.abspath(meta_path))
# Load YOLO network
netMain = darknet.load_net_custom(config_path.encode("ascii"),
weights_path.encode("ascii"), 0,
1) # batch size = 1
# Load data file to YOLO network
metaMain = darknet.load_meta(meta_path.encode("ascii"))
meta_file_content = open(meta_path, "r").read()
match = re.search("labels *= *(.*)$", meta_file_content,
re.IGNORECASE | re.MULTILINE)
# If names file found return it as a string list
if match:
names_filename = match.group(1)
if os.path.exists(names_filename):
names_file = open(names_filename, "r")
names = names_file.read().strip().split("\n")
altNames = [x.strip() for x in names]
def load_network():
'''
Initializes the darknet
'''
# use ros param for it
configPath = "./cfg/yolov3-tiny.cfg"
weightPath = "./yolov3-tiny.weights"
metaPath = "./cfg/coco.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
metaMain = darknet.load_meta(metaPath.encode("ascii"))
# Create an image we reuse for each detect
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
return netMain, metaMain, darknet_image
def load_network_meta(cfg_path, weights_path, meta_path):
net = darknet.load_net_custom(
to_str(cfg_path, True), to_str(weights_path, True), 0, 1) # batch size = 1
meta = darknet.load_meta(to_str(meta_path, True))
darknet.altNames = load_name_list(to_str(meta_path))
return net, meta
def init_detector(self):
self.net_main = darknet.load_net_custom(
self.config_path.encode("ascii"), self.weight_path.encode("ascii"),
0, 1) # batch size = 1
self.meta_main = darknet.load_meta(self.meta_path.encode("ascii"))
try:
with open(self.meta_path) as metaFH:
metaContents = metaFH.read()
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.alt_names = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
self.darknet_image = darknet.make_image(
darknet.network_width(self.net_main),
darknet.network_height(self.net_main), 3)
def __init__(self, augmentation=None, *args, **kwargs):
print("coin worker created", flush=True)
sys.path.append(Config.DARKNET_PATH)
import darknet
sys.path.pop()
self.dn = darknet
self.net_main = darknet.load_net_custom(
Config.config_path.encode("ascii"),
Config.weight_path.encode("ascii"), 0, 1)
self.meta_main = darknet.load_meta(Config.meta_path.encode("ascii"))
with open(Config.meta_path) as metaFH:
meta_contents = metaFH.read()
import re
match = re.search("names *= *(.*)$", meta_contents,
re.IGNORECASE | re.MULTILINE)
result = match.group(1) if match else None
if os.path.exists(result):
with open(result) as namesFH:
names_list = namesFH.read().strip().split("\n")
self.alt_names = [x.strip() for x in names_list]
print(
f"({self.dn.network_width(self.net_main)} {self.dn.network_height(self.net_main)}"
)
self.darknet_image = darknet.make_image(
darknet.network_width(self.net_main),
darknet.network_height(self.net_main), 3)
self.augmentation = augmentation if augmentation is not None else lambda x: x
def initYOLO(self):
if not os.path.exists(self.configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(self.configPath)+"`")
if not os.path.exists(self.weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(self.weightPath)+"`")
if not os.path.exists(self.metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(self.metaPath)+"`")
if self.netMain is None:
self.netMain = darknet.load_net_custom(self.configPath.encode(
"ascii"), self.weightPath.encode("ascii"), 0, 1) # batch size = 1
if self.metaMain is None:
self.metaMain = darknet.load_meta(self.metaPath.encode("ascii"))
if self.altNames is None:
try:
with open(self.metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def __init__(self, model_weights, model_cfg, obj_data, classes):
print(model_cfg, model_weights)
self.net = load_net_custom(model_cfg.encode("ascii"),
model_weights.encode("ascii"),
0, 1)
self.meta = load_meta(obj_data.encode("ascii"))
self.class_id = {k:i for i, k in enumerate(classes)}
self.classes = classes
def __init__(self, db): # db is optional
self.db = db
self.flag = db.flag
self.example_thread = threading.Thread(target=self.__main)
self.definer = ['red_light',
'arrow_light',
'green_light',
'traffic_light'] # Define all 14 traffic signs used
self.separate = ['red_light', 'green_light']
self.sign = {key: [0, 0] for key in self.definer} # Initialize a dict for each type to store a counter and precision checker
# ---*Class*--------------------------------------------------------------------------------------------------------------------------------------------------------------------
# | intersection | left | right | workers | bike | crosswalk | school | speed_bump | parking | bus | red_light | green_light |
# ---*Counter*------------------------------------------------------------------------------------------------------------------------------------------------------------------
# | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# ---*Precision*----------------------------------------------------------------------------------------------------------------------------------------------------------------
# | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
# YOLO config
global metaMain, netMain, altNames
configPath = "custom_traffic/yolov3-t4.cfg"
weightPath = "backup/yolov3-t4_best(tl).weights"
metaPath = "custom_traffic/obj.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" + os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" + os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" + os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents, re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def __init__(self, db): # db is optional
self.db = db
self.flag = db.flag
self.YOLO = threading.Thread(target=self.__main)
self.definer = [
"Narrow", "U-Turn", "Target_Car", "Parking", "CrossWalk", "red",
"green"
] # Define all traffic signs used
self.sign = {
key: [0, 0]
for key in self.definer
} # Initialize a dict for each type to store a counter and precision checker
# YOLO config
global metaMain, netMain, altNames
configPath = "C:\\Users\\HEVEN\\darknet\\build\\darknet\\x64\\needed_files\\pams19\\yolov3.cfg"
weightPath = "C:\\Users\\HEVEN\\darknet\\build\\darknet\\x64\\needed_files\\pams19\\yolov3_last.weights"
metaPath = "C:\\Users\\HEVEN\\darknet\\build\\darknet\\x64\\needed_files\\pams19\\obj.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def __init__(self):
global metaMain, netMain, altNames
configPath = "./cfg/yolov3-tiny.cfg"
weightPath = "./yolov3-tiny.weights"
metaPath = "./cfg/coco.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
self.netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"),
0, 1) # batch size = 1
if metaMain is None:
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
self.out = cv2.VideoWriter("output.avi",
cv2.VideoWriter_fourcc(*"MJPG"), 10.0,
(darknet.network_width(self.netMain),
darknet.network_height(self.netMain)))
print("Starting the YOLO loop...")
# Create an image we reuse for each detect
self.darknet_image = darknet.make_image(
darknet.network_width(self.netMain),
darknet.network_height(self.netMain), 3)
self.video = cv2.VideoCapture(0)
self.video.set(3, 1280)
self.video.set(4, 720)
def __init__(self):
configPath = "./yolov4-helmet-detection.cfg"
weightPath = "./yolov4-helmet-detection.weights"
metaPath = "./yolov4-helmet-detection.data"
self.netMain = darknet.load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
# flask/CUDA issue: https://github.com/AlexeyAB/darknet/issues/6844
# use lock to fix multithread issue
self.lock = threading.Lock()
def initialize_network(self, cfg_path, weights_path, meta_path):
if not os.path.exists(cfg_path):
raise ValueError("Invalid config path `" +
os.path.abspath(cfg_path) + "`")
else:
self.cfg_path = cfg_path
if not os.path.exists(weights_path):
raise ValueError("Invalid weight path `" +
os.path.abspath(weights_path) + "`")
else:
self.weights_path = weights_path
if not os.path.exists(meta_path):
raise ValueError("Invalid data file path `" +
os.path.abspath(meta_path) + "`")
else:
self.meta_path = meta_path
if self.netMain is None:
self.netMain = darknet.load_net_custom(
self.cfg_path.encode("ascii"),
self.weights_path.encode("ascii"), 0, 1) # batch size = 1
if self.metaMain is None:
self.metaMain = darknet.load_meta(self.meta_path.encode("ascii"))
self.net_width = darknet.network_width(self.netMain)
self.net_height = darknet.network_height(self.netMain)
#self.darknet_image = darknet.make_image(self.net_width, self.net_height, self.net_channels)
self.darknet_image = darknet.make_image(640, 480, 3) #Changed
if self.altNames is None:
try:
with open(self.meta_path) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
#Initializing ros Node
rospy.init_node('listener', anonymous=True)
def init_darknet(self):
config_path = "marvel_cfg/yolov3-marvel.cfg"
weight_path = "marvel_weights/yolov3-marvel_final.weights"
meta_path = "marvel_cfg/marvel.data"
self.darknet_net = darknet.load_net_custom(config_path.encode("ascii"),
weight_path.encode("ascii"),
0, 1)
self.darknet_net_w = darknet.network_width(self.darknet_net)
self.darknet_net_h = darknet.network_height(self.darknet_net)
self.darknet_meta = darknet.load_meta(meta_path.encode("ascii"))
self.darknet_img = darknet.make_image(self.darknet_net_w,
self.darknet_net_h, 3)
def set_darknet(self):
"""Si weight_influence_test,
teste tous les
yolov3-tiny_3l_22_xxxxxxx.weights
du dossier backup
free_network = lib.api_free_network
free_network.argtypes = [c_void_p]
adapté à ce script:
free_network = darknet.lib.api_free_network
free_network.argtypes = [c_void_p]
"""
configPath = self.CONF['play_letters']['configpath']
if not self.test:
weightPath = self.CONF['play_letters']['weightpath']
else:
weightPath = self.weights
metaPath = self.CONF['play_letters']['metapath']
self.netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1)
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
with open(metaPath) as metaFH:
metaContents = metaFH.read()
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
print("Erreur self.altNames")
if self.gpu:
self.free_network = darknet.lib.api_free_network
# Create an image we reuse for each detect
self.darknet_image = darknet.make_image(\
darknet.network_width(self.netMain),
darknet.network_height(self.netMain),
3)
def performDetect(darknet_path,
configPath,
weightPath,
metaPath,
imagePath,
thresh=0.25):
sys.path.append(darknet_path)
import darknet
global metaMain, netMain, altNames
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
# 默认batch为1
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0, 1)
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception as e:
print(e)
# 判断图片路径是否存在
if not os.path.exists(imagePath):
raise ValueError("Invalid image path `" + os.path.abspath(imagePath) +
"`")
# 开始预测
detections = darknet.detect(netMain, metaMain, imagePath.encode("ascii"),
thresh)
return detections
def validateYOLO(configPath, weightPath, metaPath):
"""
Validates the YOLO paths and throws errors if error exists
Parameters
----------------
configPath: str
Path to the config to evaluate. Raises ValueError if not found
weightPath: str
Path to the weight to evaluate. Raises ValueError if not found
weightPath: str
Path to the meta to evaluate. Raises ValueError if not found
"""
global metaMain, netMain, altNames
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def Detector():
global metaMain, netMain, altNames
configPath = "./yolov3.cfg"
weightPath = "./yolov3.weights"
metaPath = "./data/obj.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
for i in range(0, len(list_img)):
path = './data/dataset/' + list_img[i]
# detections = (darknet.performDetect(path, 0.25, configPath, weightPath, metaPath, False, False))
detections = darknet.detect(netMain, metaMain, path.encode("ascii"),
0.25)
SuperResolution(list_img[i], preprocess(path, detections))
def __init__(self):
self.definer = [
'u-turn', 'crosswalk', 'narrow', 'tracking', 'parking', 'red',
'green'
] # Define all traffic signs used
self.sign = {
key: [0, 0]
for key in self.definer
} # Initialize a dict for each type to store a counter and precision checker
# YOLO config
global metaMain, netMain, altNames
configPath = "pams19/yolov3.cfg"
weightPath = "backup/backup-pams/yolov3_final.weights"
metaPath = "pams19/obj.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
def YOLO():
#global pipeline, config
#pipeline = rs.pipeline()
#config = rs.config()
#config.enable_stream(rs.stream.color, 1280, 720, rs.format.bgr8, 30)
#pipeline.start(config)
global metaMain, netMain, altNames
configPath = "./cfg/yolov3-obj.cfg"
weightPath = "yolo-obj_last.weights"
metaPath = "./data/obj.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
global darknet_image
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
def InitialiseYOLO():
print('YOLO Init')
global metaMain, netMain, altNames, darknet_image
#configPath = "./cfg/yolov4.cfg"
configPath = "/var/darknet/cfg/yolov3.cfg"
#weightPath = "./yolov4.weights"
weightPath = "/var/darknet/cfg/yolov3.weights"
#metaPath = "./cfg/coco.data"
metaPath = "/var/darknet/cfg/coco.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
return netMain, metaMain
def load_model(darknet_path, configPath, weightPath, metaPath, thresh=0.25):
sys.path.append(darknet_path)
import darknet
global metaMain, netMain, altNames
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" + os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" + os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" + os.path.abspath(metaPath) + "`")
# 默认batch为1
netMain = darknet.load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1)
metaMain = darknet.load_meta(metaPath.encode("ascii"))
return netMain, metaMain, thresh, darknet_path
def __init__(self,
configPath="cfg/yolo-obj.cfg",
weightPath="weights/yolo-obj_final.weights",
metaPath="cfg/obj.data",
gpu_id=1):
self.metaMain, self.netMain, self.altNames, self.dark = None, None, None, darknet
# self.logger = setup_logger(log_level=logging.CRITICAL)
if HAS_GPU:
set_gpu(gpu_id)
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if self.netMain is None:
self.netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"),
0, 1) # batch size = 1
if self.metaMain is None:
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
if self.altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
self.size = (self.dark.network_width(self.netMain),
self.dark.network_height(self.netMain))
self._seconds = 0
def load_model(metaMain, netMain, altNames, version):
if version == 1:
configPath = "./cfg/yolov4.cfg"
else:
configPath = "./cfg/small_yolov4.cfg"
weightPath = "./weights/yolov4.weights"
metaPath = "./cfg/coco.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath) + "`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0,
1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
# Create an image we reuse for each detect
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain), 3)
return darknet_image, metaMain, netMain, altNames
def detect_people(image):
inputi = image
config_file = 'cfg/yolov4.cfg'
weights_file = 'yolov4.weights'
data_file = 'data/coco.data'
height, width, _ = image.shape
network = darknet.load_net_custom(config_file.encode('ascii'),
weights_file.encode('ascii'), 0, 1)
meta = darknet.load_meta(data_file.encode('ascii'))
darknet_image = darknet.make_image(darknet.network_width(network),
darknet.network_height(network), 3)
image = cv2.resize(
image,
(darknet.network_width(network), darknet.network_height(network)),
interpolation=cv2.INTER_LINEAR)
wi = darknet.network_width(network)
he = darknet.network_height(network)
darknet.copy_image_from_bytes(darknet_image, image.tobytes())
results = darknet.detect_image(network, meta, darknet_image, thresh=0.25)
for result in results:
item, confidence, bounding_box = result
item = item.decode('utf-8')
if item == 'person':
print(f'{item} {confidence}')
result = convert(bounding_box[0], bounding_box[1], bounding_box[2],
bounding_box[3])
# xc + rx(xo -xc)
rx = width / wi
ry = height / he
xmin = result[0] * rx
ymin = result[1] * ry
xmax = result[2] * rx
ymax = result[3] * ry
cv2.rectangle(inputi, (int(xmin), int(ymin)),
(int(xmax), int(ymax)), (0, 255, 0), 1)
cv2.putText(inputi, item, (int(xmin), int(ymin) - 5),
cv2.FONT_HERSHEY_SIMPLEX, .4, (0, 255, 0), 1)
result = cv2.cvtColor(inputi, cv2.COLOR_BGR2RGB)
return result
def __init__(self, configPath="", weightPath="", classPath=""):
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath) + "`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath) + "`")
if not os.path.exists(classPath):
raise ValueError("Invalid classes file path `" +
os.path.abspath(classPath) + "`")
self.net = dk.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"), 0, 1)
self.class_names = YOLO.getClass(classPath)
self.darknet_image = dk.make_image(dk.network_width(self.net),
dk.network_height(self.net), 3)
self.thresh = 0.5
self.colors = self.getColors()
def __init__(self):
self.avm_img_sub = rospy.Subscriber("avm_usb_cam/image_raw", Image,
self.image_callback)
self.parking_cand_pub = rospy.Publisher('/parking_cands',
PoseArray,
queue_size=1)
self.metaMain = None
self.netMain = None
self.altNames = None
self.image = None
configPath = "./yolo-obj_onlyFree.cfg"
weightPath = "./yolo-obj_parking.weights" #ms: loading the weight file
# weightPath = "./yolo-obj_low_dimension.weights"#ms: the size of input has to be (224,224)
metaPath = "./obj.data"
if self.netMain is None:
self.netMain = darknet.load_net_custom(configPath.encode("ascii"),
weightPath.encode("ascii"),
0, 1) # batch size = 1
if self.metaMain is None:
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
if self.altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
self.altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
self.darknet_image = darknet.make_image(
darknet.network_width(self.netMain),
darknet.network_height(self.netMain), 3)
def __init__(self, metaPath, configPath, weightPath, namesPath, gpu_id=2):
'''
:param metaPath: ***.data 存储各种参数
:param configPath: ***.cfg 网络结构文件
:param weightPath: ***.weights yolo的权重
:param namesPath: ***.data中的names路径，这里是便于读取使用
:param gpu_id: gpu id
'''
# 设置gpu
darknet.set_gpu(gpu_id)
# 网络
self.netMain = darknet.load_net_custom(configPath.encode("ascii"), weightPath.encode("ascii"), 0, 1) # batch=1
# 各种参数
self.metaMain = darknet.load_meta(metaPath.encode("ascii"))
# 读取标签类别名称列表
self.names = self.read_names(namesPath)
# 每类颜色肯定一致，但是每次执行不一定都一样
self.colors = self.color()
def YOLO():
global metaMain, netMain, altNames
configPath = "./cfg/yolov3.cfg"
weightPath = "./yolov3.weights"
metaPath = "./cfg/coco.data"
if not os.path.exists(configPath):
raise ValueError("Invalid config path `" +
os.path.abspath(configPath)+"`")
if not os.path.exists(weightPath):
raise ValueError("Invalid weight path `" +
os.path.abspath(weightPath)+"`")
if not os.path.exists(metaPath):
raise ValueError("Invalid data file path `" +
os.path.abspath(metaPath)+"`")
if netMain is None:
netMain = darknet.load_net_custom(configPath.encode(
"ascii"), weightPath.encode("ascii"), 0, 1) # batch size = 1
if metaMain is None:
metaMain = darknet.load_meta(metaPath.encode("ascii"))
if altNames is None:
try:
with open(metaPath) as metaFH:
metaContents = metaFH.read()
import re
match = re.search("names *= *(.*)$", metaContents,
re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
namesList = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in namesList]
except TypeError:
pass
except Exception:
pass
#cap = cv2.VideoCapture(0)
cap = cv2.VideoCapture("test.mp4")
cap.set(3, 1280)
cap.set(4, 720)
out = cv2.VideoWriter(
"output.avi", cv2.VideoWriter_fourcc(*"MJPG"), 10.0,
(darknet.network_width(netMain), darknet.network_height(netMain)))
print("Starting the YOLO loop...")
# Create an image we reuse for each detect
darknet_image = darknet.make_image(darknet.network_width(netMain),
darknet.network_height(netMain),3)
while True:
prev_time = time.time()
ret, frame_read = cap.read()
frame_rgb = cv2.cvtColor(frame_read, cv2.COLOR_BGR2RGB)
frame_resized = cv2.resize(frame_rgb,
(darknet.network_width(netMain),
darknet.network_height(netMain)),
interpolation=cv2.INTER_LINEAR)
darknet.copy_image_from_bytes(darknet_image,frame_resized.tobytes())
detections = darknet.detect_image(netMain, metaMain, darknet_image, thresh=0.25)
image = cvDrawBoxes(detections, frame_resized)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
print(1/(time.time()-prev_time))
cv2.imshow('Demo', image)
cv2.waitKey(3)
cap.release()
out.release()
