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圖像識(shí)別算法工程師簡(jiǎn)歷模板使用便捷-高效-實(shí)用，高效提升求職效率，做高質(zhì)量簡(jiǎn)歷就用錘子簡(jiǎn)歷。

.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};} .resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};} .resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;} .resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;} .resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; } /* ?????? */ .resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};} .resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};} .resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}} .resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};} .resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}} .resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}} .resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}

? 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(yàn)

13800138000

BD@100chui.com

? 姓名: 錘子簡(jiǎn)歷

夢(mèng)想每個(gè)人都有，但不是每個(gè)人都有勇氣去堅(jiān)信，我有!

 求職意向: 
圖像識(shí)別算法工程師


廣州


面議


隨時(shí)到崗

 教育背景: 2014.09 - 2018.06

錘子簡(jiǎn)歷大學(xué)

計(jì)算機(jī)與信息技術(shù)

GPA：3.72/4（專業(yè)前10%）
GRE：324

 工作經(jīng)驗(yàn)

2019年12月 - 至今

錘子簡(jiǎn)歷信息有限公司

圖像識(shí)別算法工程師

使用C++/MFC進(jìn)行無(wú)人機(jī)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(shí)現(xiàn);
面板精準(zhǔn)分割和定位使用OpenCV進(jìn)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(shí)現(xiàn)對(duì)電站面板的精準(zhǔn)定位，所以對(duì)于算法的魯棒性要求較高;
主要使用OpenCV和C++來實(shí)現(xiàn)算法的設(shè)計(jì)算法是用來進(jìn)行鋰電池的檢測(cè)，實(shí)現(xiàn)正極和負(fù)極的抓點(diǎn)準(zhǔn)確，進(jìn)而達(dá)到檢測(cè)鋰電池是否合格的目的;
使用及改進(jìn)MTCNN算法進(jìn)行人臉檢測(cè)，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(jìn)行68點(diǎn)關(guān)鍵點(diǎn)檢測(cè)，并使用自有數(shù)據(jù)訓(xùn)練95點(diǎn)數(shù)據(jù)模型;
使用Dlib、Facenet進(jìn)行人臉識(shí)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(jiǎn)歷科技有限公司

圖像識(shí)別算法工程師

負(fù)責(zé)收集公司內(nèi)部的需求，實(shí)時(shí)從平臺(tái)獲取圖像，并根據(jù)需求對(duì)圖像進(jìn)行處理和分析，對(duì)客戶提出關(guān)于圖像處理和計(jì)算機(jī)視覺方面相關(guān)對(duì)問題，給予解決方案;
與項(xiàng)目對(duì)其他成員合作，協(xié)助完成相關(guān)的測(cè)試，在該工作主要做過對(duì)項(xiàng)目有全自動(dòng)等檢機(jī)圖像識(shí)別系統(tǒng)，人臉識(shí)別系統(tǒng);
負(fù)責(zé)學(xué)生試卷手寫的答題和老師手動(dòng)批改的識(shí)別;
負(fù)責(zé)和產(chǎn)品部門的需求對(duì)接與技術(shù)可行性分析;
負(fù)責(zé)訓(xùn)練數(shù)據(jù)的采集和篩選以及預(yù)處理;
負(fù)責(zé)模型的設(shè)計(jì)訓(xùn)練與調(diào)優(yōu);

 項(xiàng)目經(jīng)驗(yàn)

2021年3月 - 2021年11月

項(xiàng)目工程

圖像識(shí)別算法工程師

ROI定位人體組織后，對(duì)人體組織進(jìn)行匹配，對(duì)組織外輪廓取80左右個(gè)點(diǎn)，只記錄點(diǎn)的位置信息。
計(jì)算每個(gè)點(diǎn)的shapecontext，即在每個(gè)點(diǎn)的周圍取窗，窗口散落的其他輪廓點(diǎn)描述當(dāng)前點(diǎn)的特征。

 自我評(píng)價(jià): 本人有電工進(jìn)網(wǎng)作業(yè)許可證，對(duì)待工作踏實(shí)，認(rèn)真，并且極富工作和團(tuán)隊(duì)精神，因此在工作和生活中結(jié)交了許多朋友，具有良好的適應(yīng)性和熟練的溝通技巧。綜合素質(zhì)佳，能夠吃苦耐勞，忠誠(chéng)穩(wěn)重堅(jiān)守誠(chéng)信正直原則，感謝您在百忙之中閱覽我的簡(jiǎn)歷，靜候佳音！