Maria
Maria
I have trained model for chinese weibo data ,how could i predict single line?
I was training by chinese weibo data ,but when running decode.py,it failed to calculate rouge score .This is the issue which have the same problem but still remain to be...
训练预测的时候是正常的   实际上2700也算是收敛了,效果不会这样吧。但是我使用demo_inference的时候就预测不出来了, python demo_inference.py --batch_size=1 \ --checkpoint=../logs/model.ckpt-2742\ --image_path_pattern=./datasets/data/fsns/temp/%02d.png 图片是000.png 最后只得到了444444,也就只有第一个数字,不知道是什么问题?哪里设置出错了么?
windows可以打开,但是在linux加载不了了,就是在fuseki_conf.ttl里面路径设置了之后打开3030网页看不到任何dataset
tuple_extractor.py这个函数抽取出来的candidates_tuple如下:{('', '', ''): ['', '莫妮卡', 0.00027995862]}, 导致tuple_filter.py里面的X.append([features[9][0][1]])索引出错。这里 score = [entity]+[s for s in candidate_entitys[entity][0:1]]是不是写错了? > def extract_tuples(self,candidate_entitys,question): '''''' candidate_tuples = {} for entity in candidate_entitys: #得到该实体的所有关系路径 starttime=time.time() relations = GetRelationPaths(entity)...
文字检测部分有时候出错,是不是得增加数据集训练?检测之后如何剔除掉非汉字的部分识别呢?
想复现一下论文的结果,求告知下参数呢? For reference, our modified baseline achieves 96.9% rank-1 and 82.0% mAP accuracy on Veri-776 benchmark 我自己跑了8个epoch,Acc就达到了0.97。但是验证的时候,mAP=56.7%,Rank-1=86.7%;而我在第4个epoch的时候,Acc也有0.92了,mAP =55.2% ,Rank-1=84.5%,我修改了一部分参数,不清楚是不是改错了,似乎相差挺大的。
  Test some images from midv datasets with the provided model,the above seems difficult to identify accurately,can someone explain?
ValueError: (InvalidArgument) AvgPoolGrad dose not support Asymmetric strides. but strides = (2, 1)
华为的ascend 910机器,跑的是paddleocr的文本识别训练。 运行命令: /home/ma-user/anaconda3/envs/MindSpore/bin/python -u train.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_common_train_v2.0.yml -o use_npu=True 系统: Linux notebook-2a7fcf5e-f8cc-473f-9414-a6ff8ebbf05a 4.19.36-vhulk1907.1.0.h619.eulerosv2r8.aarch64 #1 SMP Mon Jul 22 00:00:00 UTC 2019 aarch64 aarch64 aarch64 GNU/Linux Paddle: paddlepaddle_npu-0.0.0-cp37-cp37m-linux_aarch64.whl 完整报错: [2022/10/28...
env文件下填上了apikey: OPENAI_API_KEY='sk-MX8...Yk' 系统win10,安装[prm-cli](https://github.com/wangrongding/prm-cli)也要很久,所以我安装的cnpm镜像 npm install -g cnpm --registry=https://registry.npm.taobao.org 运行cnpm i没问题,运行cnpm run dev报错如下: 