UPDATE Vision 保存图片和点云
This commit is contained in:
@ -16,11 +16,13 @@ from Vision.yolo.yolov8_pt_seg import yolov8_segment
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from Vision.yolo.yolov8_openvino import yolov8_segment_openvino
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from Vision.tool.utils import find_position
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from Vision.tool.utils import class_names
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from Vision.tool.utils import get_disk_space
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import time
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import os
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class Detection:
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def __init__(self, use_openvino_model = True):
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def __init__(self, use_openvino_model=True):
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self.use_openvino_model = use_openvino_model
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if self.use_openvino_model==False:
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model_path = ''.join([os.getcwd(), '/Vision/model/pt/best.pt'])
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@ -36,7 +38,7 @@ class Detection:
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def get_position(self, Point_isVision=False):
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def get_position(self, Point_isVision=False, save_img_piont=True):
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""
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'''
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:param api: None
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@ -45,6 +47,22 @@ class Detection:
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ret, img, pm = self.camera_rvc.get_img_and_point_map() # 拍照,获取图像及
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if self.camera_rvc.caminit_isok == True:
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if ret == 1:
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if save_img_piont == True:
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if get_disk_space(path=os.getcwd()) < 15: # 内存小于15G,停止保存数据
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save_img_piont = False
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print('系统内存不足,无法保存数据')
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else:
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save_path = ''.join([os.getcwd(), '/Vision/model/data/',
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time.strftime('%Y_%m_%d_%H_%M_%S', time.localtime(time.time()))])
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save_img_name = ''.join([save_path, '.png'])
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save_piont_name = ''.join([save_path, '.xyz'])
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row_list = list(range(1, 1080, 2))
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column_list = list(range(1, 1440, 2))
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pm_save = pm.copy()
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pm_save1 = np.delete(pm_save, row_list, axis=0)
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point_new = np.delete(pm_save1, column_list, axis=1)
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point_new = point_new.reshape(-1, 3)
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np.savetxt(save_piont_name, point_new)
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if self.use_openvino_model == False:
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flag, det_cpu, dst_img, masks, category_names = self.model.model_inference(img, 0)
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else:
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@ -196,9 +214,14 @@ class Detection:
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outlier_cloud = pcd.select_by_index(inliers, invert=True)
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outlier_cloud.paint_uniform_color([0, 1, 0])
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o3d.visualization.draw_geometries([inlier_cloud, outlier_cloud, pcd2])
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if save_img_piont == True:
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save_img = cv2.resize(img, (720, 540))
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cv2.imwrite(save_img_name, save_img)
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return 1, img, xyz[_idx], nx_ny_nz[_idx]
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else:
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if save_img_piont == True:
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save_img = cv2.resize(img,(720, 540))
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cv2.imwrite(save_img_name, save_img)
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return 1, img, None, None
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else:
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@ -11,11 +11,13 @@
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import numpy as np
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import cv2
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import open3d as o3d
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import time
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from Vision.tool.CameraRVC import camera
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from Vision.yolo.yolov8_pt_seg import yolov8_segment
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from Vision.yolo.yolov8_openvino import yolov8_segment_openvino
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from Vision.tool.utils import find_position
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from Vision.tool.utils import class_names
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from Vision.tool.utils import get_disk_space
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import os
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class Detection:
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@ -39,7 +41,7 @@ class Detection:
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def get_position(self, Point_isVision=False):
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def get_position(self, Point_isVision=False, save_img_piont=True):
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""
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'''
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:param api: None
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@ -50,6 +52,24 @@ class Detection:
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img = self.img
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pm = self.point
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if ret == 1:
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if save_img_piont == True:
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if get_disk_space(path=os.getcwd())<15: # 内存小于15G,停止保存数据
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save_img_piont = False
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print('系统内存不足,无法保存数据')
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else:
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save_path = ''.join([os.getcwd(), '/Vision/model/data/',
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time.strftime('%Y_%m_%d_%H_%M_%S', time.localtime(time.time()))])
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save_img_name = ''.join([save_path, '.png'])
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save_piont_name = ''.join([save_path, '.xyz'])
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row_list = list(range(1, 1080, 2))
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column_list = list(range(1, 1440, 2))
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pm_save = pm.copy()
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pm_save1 = np.delete(pm_save, row_list, axis=0)
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point_new = np.delete(pm_save1, column_list, axis=1)
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point_new = point_new.reshape(-1, 3)
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np.savetxt(save_piont_name, point_new)
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if self.use_openvino_model == False:
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flag, det_cpu, dst_img, masks, category_names = self.model.model_inference(img, 0)
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else:
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@ -61,6 +81,7 @@ class Detection:
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Depth_Z = []
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uv = []
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seg_point = []
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if Point_isVision == True:
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pm2 = pm.copy()
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pm2 = pm2.reshape(-1, 3)
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@ -200,9 +221,16 @@ class Detection:
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outlier_cloud = pcd.select_by_index(inliers, invert=True)
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outlier_cloud.paint_uniform_color([0, 1, 0])
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o3d.visualization.draw_geometries([inlier_cloud, outlier_cloud, pcd2])
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if save_img_piont == True:
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save_img = cv2.resize(img,(720, 540))
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cv2.imwrite(save_img_name, save_img)
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return 1, img, xyz[_idx], nx_ny_nz[_idx]
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else:
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if save_img_piont == True:
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save_img = cv2.resize(img, (720, 540))
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cv2.imwrite(save_img_name, save_img)
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return 1, img, None, None
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else:
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@ -7,7 +7,7 @@
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'''
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import time
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from camera_coordinate_dete import Detection
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from camera_coordinate_dete_img import Detection
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import cv2
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detection = Detection()
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@ -10,7 +10,18 @@
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import numpy as np
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import cv2
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import psutil
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from psutil._common import bytes2human
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def get_disk_space(path='C:'):
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usage = psutil.disk_usage(path)
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space_free = bytes2human(usage.free)
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# space_total = bytes2human(usage.total)
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# space_used = bytes2human(usage.used)
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# space_free = bytes2human(usage.free)
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# space_used_percent = bytes2human(usage.percent)
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space_free = float(space_free[:-1])
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return space_free
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def find_position(Depth_Z, RegionalArea, RegionalArea_Threshold, first_depth=True):
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if first_depth == True:
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sorted_id = sorted(range(len(Depth_Z)), key=lambda k: Depth_Z[k], reverse=False)
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13
app.py
13
app.py
@ -35,13 +35,14 @@ class MainWindow(QMainWindow, Ui_MainWindow):
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def __init__(self):
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super(MainWindow, self).__init__()
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self.setupUi(self)
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self.init_qss()
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self.init_UI()
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self.init_Run()
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self.init_robot_info()
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self.init_FeedLine()
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self.start_Runing()
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self.init_log()
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self.init_qss()
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def init_qss(self):
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self.active_status_Qss = """
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@ -683,11 +684,11 @@ class MainWindow(QMainWindow, Ui_MainWindow):
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else:
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self.stackedWidget_num.setCurrentIndex(1)
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if self.feeding.feedConfig.num==2:
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self.feeding.pause=True
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self.send_pause_command(True)
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self.show_messagebox_of_person()
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log.log_message(logging.ERROR, '人员进入安全区')
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# if self.feeding.feedConfig.num==2:
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# self.feeding.pause=True
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# self.send_pause_command(True)
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# self.show_messagebox_of_person()
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# log.log_message(logging.ERROR, '人员进入安全区')
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self.label_date.setText(datetime.now().strftime("%Y-%m-%d"))
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self.label_time.setText(datetime.now().strftime("%H:%M:%S"))
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@ -7,7 +7,8 @@
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'''
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from Vision.camera_coordinate_dete_img import Detection
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from Trace.handeye_calibration import *
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from Vision.tool.utils import get_disk_space
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import platform
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import cv2
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detection = Detection()
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@ -23,4 +24,10 @@ while True:
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print("target_position:", target_position)
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print("noraml_base", noraml_base)
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cv2.imshow('img', img)
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cv2.waitKey(0)
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cv2.waitKey(0)
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# sysstr = platform.system()
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# if sysstr == "Windows":
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# space_free = get_disk_space(path=os.getcwd())
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# else:
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# space_free = get_disk_space(path = "D:")
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# print('剩余空间: ', space_free)
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