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2e39af9774c0d0a0fc1447e2760601a042fb448c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 138 zcmWIL<>g`kf=`p4CxPh4AOaaM0yz#qT+9L_QW%06G#UL?G8BP?5yUTj{fzwFRQ-~S z;&T0PFa6@8Wc{MdvecsZl+@gO{oMSN)SP1d`1s7c%#!$cy@JYH95z6~(wtN~kU^h; Gm;nIdT_36d diff --git a/readme.md b/readme.md index dd0a19d..c285749 100644 --- a/readme.md +++ b/readme.md @@ -1,4 +1,4 @@ 此程序为了DSP测试开发的demo，重点是AI_process的子函数 -环境配置正确后：python demo.py -测试images/examples下面的图像 -输出在images/results下面 +环境配置正确后：cd test; python demo.py +测试test/images/examples下面的图像 +输出在test/images/results下面 diff --git a/segutils/core/__pycache__/__init__.cpython-38.pyc b/segutils/core/__pycache__/__init__.cpython-38.pyc deleted file mode 100644 index e5e05bdc072d3e6124d271859a8bc5533f3406ce..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 191 zcmWIL<>g`kf<=>_C#eGI#~=g`kf<=>_CxPh4AOaaM0yz#qT+9L_QW%06G#UL?G8BP?5yUUK;?(rglFXc9 q{p9?jRQ;61l0^OZ_{_Y_lK6PNg34PQHo5sJr8%i~Abp>Km;nI73K=*6 diff --git a/test/demo.py b/test/demo.py new file mode 100644 index 0000000..0655a4b --- /dev/null +++ b/test/demo.py @@ -0,0 +1,58 @@ +import sys +sys.path.extend(['..','../AIlib' ]) + +from AI import AI_process +import cv2,os,time +from segutils.segmodel import SegModel +from models.experimental import attempt_load +from utils.torch_utils import select_device +from utilsK.queRiver import get_labelnames,get_label_arrays +import numpy as np +import torch + +def main(): + ##预先设置的参数 + device_='1' ##选定模型，可选 cpu,'0','1' + + ##以下参数目前不可改 + Detweights = "../AIlib/weights/yolov5/class5/best_5classes.pt" + seg_nclass = 2 + Segweights = "../AIlib/weights/BiSeNet/checkpoint.pth" + conf_thres,iou_thres,classes= 0.25,0.45,5 + labelnames = "../AIlib/weights/yolov5/class5/labelnames.json" + rainbows = [ [0,0,255],[0,255,0],[255,0,0],[255,0,255],[255,255,0],[255,129,0],[255,0,127],[127,255,0],[0,255,127],[0,127,255],[127,0,255],[255,127,255],[255,255,127],[127,255,255],[0,255,255],[255,127,255],[127,255,255], [0,127,0],[0,0,127],[0,255,255]] + allowedList=[0,1,2,3] + + + ##加载模型，准备好显示字符 + device = select_device(device_) + names=get_labelnames(labelnames) + label_arraylist = get_label_arrays(names,rainbows,outfontsize=40,fontpath="../AIlib/conf/platech.ttf") + half = device.type != 'cpu' # half precision only supported on CUDA + model = attempt_load(Detweights, map_location=device) # load FP32 model + if half: model.half() + segmodel = SegModel(nclass=seg_nclass,weights=Segweights,device=device) + + + + ##图像测试 + #url='images/examples/20220624_响水河_12300_1621.jpg' + impth = 'images/examples/' + outpth = 'images/results/' + folders = os.listdir(impth) + for i in range(len(folders)): + imgpath = os.path.join(impth, folders[i]) + im0s=[cv2.imread(imgpath)] + time00 = time.time() + p_result,timeOut = AI_process(im0s,model,segmodel,names,label_arraylist,rainbows,half,device,conf_thres, iou_thres,allowedList) + time11 = time.time() + image_array = p_result[1] + cv2.imwrite( os.path.join( outpth,folders[i] ) ,image_array ) + print('----process:%s'%(folders[i]), (time.time() - time11) * 1000) + + + + + +if __name__=="__main__": + main() diff --git a/images/examples/2022-07-27-13-35-23_frame-160-240_type-排口_UfNOMh78smt0wezB_s-off-P20220727133456697-30e25a4f15eb4756abd4571a2fcad2de_OR.jpg b/test/images/examples/2022-07-27-13-35-23_frame-160-240_type-排口_UfNOMh78smt0wezB_s-off-P20220727133456697-30e25a4f15eb4756abd4571a2fcad2de_OR.jpg similarity index 100% rename from images/examples/2022-07-27-13-35-23_frame-160-240_type-排口_UfNOMh78smt0wezB_s-off-P20220727133456697-30e25a4f15eb4756abd4571a2fcad2de_OR.jpg rename to test/images/examples/2022-07-27-13-35-23_frame-160-240_type-排口_UfNOMh78smt0wezB_s-off-P20220727133456697-30e25a4f15eb4756abd4571a2fcad2de_OR.jpg diff --git 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