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圖像識別算法工程師求職簡歷模板使用便捷-高效-實用，高效提升求職效率，做高質(zhì)量簡歷就用錘子簡歷。

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? 頭像: 隱藏

編輯

["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]

? 基本信息: 女

28歲



本科

未婚

中共黨員

?

4年經(jīng)驗

13800138000

BD@100chui.com

? 姓名: 錘子簡歷

夢想每個人都有，但不是每個人都有勇氣去堅信，我有!

 求職意向: 
圖像識別算法工程師


廣州


面議


隨時到崗

 教育背景: 2014.09 - 2018.06

錘子簡歷大學(xué)

計算機與信息技術(shù)

GPA：3.72/4（專業(yè)前10%）
GRE：324

 工作經(jīng)驗

2019年12月 - 至今

錘子簡歷信息有限公司

圖像識別算法工程師

使用C++/MFC進行無人機光伏電站軟件系統(tǒng)的構(gòu)建面板定位模塊使用TensorFlow以及ssdmobilenet訓(xùn)練的模型來實現(xiàn);
面板精準分割和定位使用OpenCV進行開發(fā)，算法需要在山地，水面，沙漠等多種極端環(huán)境下實現(xiàn)對電站面板的精準定位，所以對于算法的魯棒性要求較高;
主要使用OpenCV和C++來實現(xiàn)算法的設(shè)計算法是用來進行鋰電池的檢測，實現(xiàn)正極和負極的抓點準確，進而達到檢測鋰電池是否合格的目的;
使用及改進MTCNN算法進行人臉檢測，并使用自有數(shù)據(jù)訓(xùn)練模型;
使用Dlib的ERT集成回歸樹算法進行68點關(guān)鍵點檢測，并使用自有數(shù)據(jù)訓(xùn)練95點數(shù)據(jù)模型;
使用Dlib、Facenet進行人臉識別，爬蟲，根據(jù)需求制定爬取策略，抓取數(shù)據(jù);

2018年3月 - 2019年12月

錘子簡歷科技有限公司

圖像識別算法工程師

負責(zé)收集公司內(nèi)部的需求，實時從平臺獲取圖像，并根據(jù)需求對圖像進行處理和分析，對客戶提出關(guān)于圖像處理和計算機視覺方面相關(guān)對問題，給予解決方案;
與項目對其他成員合作，協(xié)助完成相關(guān)的測試，在該工作主要做過對項目有全自動等檢機圖像識別系統(tǒng)，人臉識別系統(tǒng);
負責(zé)學(xué)生試卷手寫的答題和老師手動批改的識別，和產(chǎn)品部門的需求對接與技術(shù)可行性分析；
負責(zé)訓(xùn)練數(shù)據(jù)的采集和篩選以及預(yù)處理，模型的設(shè)計訓(xùn)練與調(diào)優(yōu);

 項目經(jīng)驗

2021年3月 - 2021年11月

項目工程

圖像識別算法工程師

項目描述：該項目主要分為兩部分，人間檢測，人臉識別，人臉檢測主要用mtcnn來提取到人臉框，人臉識別主要計算圖片之間的歐幾里得距離來判斷。
責(zé)任描述：在該項目中主要運用了MTCNN來進行人間檢測，運用了FaceNet來進行人臉識別。在輸入層使用圖像金字塔進行初始圖像的尺度變換，并使用P-Net生成大量的候選目標區(qū)域框，之后使用R-Net對這些目標區(qū)域框進行第一次精選和邊框回歸，排除大部分的負例，然后再用更復(fù)雜的、精度更高的網(wǎng)絡(luò)O-Net對剩余的目標區(qū)域框進行判別和區(qū)域邊框回歸。
通過CNN將人臉映射到歐式空間的特征向量上，計算不同圖片人臉特征的距離，通過相同個體的人臉的距離，總是小于不同個體的人臉這一先驗知識訓(xùn)練網(wǎng)絡(luò)。
測試時只需要計算人臉特征，然后計算距離使用閾值即可判定兩張人臉照片是否屬于相同的個體。