{"m1":["resume_head","resume_name","resume_base_info"],"m2":[],"m3":["resume_job","resume_edu","resume_skill","resume_work","resume_internship","resume_honor","resume_project","resume_portfolio","resume_school_info","resume_hobby","resume_summary"],"m4":[]}
.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:${color}}
.resume_main[data_color] .resume_content:after,.resume_main[data_color] .info_item .resume_item_list a.aiconfont{background-color:${color};}
.resume_main[data_color] .resume_item dl dt span.resume_item_title_span{border-color:${color};}
["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]
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基本信息
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姓名
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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!
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教育背景
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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
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工作經(jīng)驗
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2019年12月 - 至今
錘子簡歷信息有限公司
深度學(xué)習(xí)圖像算法工程師
- 訓(xùn)練模型并編寫腳本,實現(xiàn)從工作現(xiàn)場攝像頭采集的視頻中自動擷取大量適合檢測的幀;
- 進行圖像數(shù)據(jù)的預(yù)處理包括裁剪、增強、統(tǒng)一尺寸、歸一化等,進行圖像標注制成數(shù)據(jù)集;
- 構(gòu)建的目標檢測與分割模型并使用深度學(xué)習(xí)等方法利用獲得的圖像數(shù)據(jù)進行訓(xùn)練,對工業(yè)圖像進行目標檢測與實例分割,不僅實現(xiàn)自動偵測視頻中含有目標的頓,還能夠識別不同目標的類別和位置以及顯示目標所覆蓋的像素點;
- 在兩種場景任務(wù)下分別實現(xiàn)不同目標的識別定位與長寬比統(tǒng)計和目標跟蹤定位,滿足工業(yè)場景需求,實現(xiàn)智能自動化檢測;
- 根據(jù)應(yīng)用場景的特點利用模型檢測方法設(shè)計針對性的識別及跟蹤定位策略,使用opencv將檢測結(jié)果顯示在視頻流上,方便直觀;
2018年3月 - 2019年12月
錘子簡歷科技有限公司
深度學(xué)習(xí)圖像算法工程師
- 根據(jù)項目需求采用合適的深度模型和圖像處理方法完成項目任務(wù),對神經(jīng)網(wǎng)絡(luò)進行調(diào)優(yōu)以實現(xiàn)業(yè)務(wù)要求;
- 根據(jù)項目需求采集、制作相應(yīng)數(shù)據(jù),以及對數(shù)據(jù)進行圖像預(yù)處理,配合項目經(jīng)理和同事完成項目上線,通過數(shù)據(jù)挖掘、網(wǎng)頁爬蟲等方法進行數(shù)據(jù)預(yù)處理的研究;
- 負責(zé)公司圖形方面的項目任務(wù),采用常用的深度學(xué)習(xí)模型諸如卷積神經(jīng)網(wǎng)絡(luò),遞歸神經(jīng)網(wǎng)絡(luò)對圖片進行模式識別,人臉檢測。
對神經(jīng)網(wǎng)絡(luò)進行超參調(diào)優(yōu),實現(xiàn)業(yè)務(wù)要求;
- 研究國外深度學(xué)習(xí)論文,對能實用的算法進行快速落地;配合項目經(jīng)理以及團隊同事共同實現(xiàn)項目,并撰寫報告文檔;
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項目經(jīng)驗
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2021年3月 - 2021年11月
項目工程
深度學(xué)習(xí)圖像算法工程師
- 項目描述:在卷取機卷取鋼材的過程中需要對鋼材的尾部位置進行跟蹤從而通過調(diào)節(jié)卷取機旋轉(zhuǎn)速度將鋼卷尾部停止在指定位置,便于下一步工序運行。鋼帶在卷取過程中需要判斷尾部形狀從而決定鋼帶的類型以及卷取的最佳位置,目前卷取機鋼帶尾部形狀分類以及位置識別都是采用人工方式,費時費力且容易出錯,項目方案采用基于機器視覺的圖像識別、目標追蹤等方法實現(xiàn)對帶鋼尾部形狀的自動分類以及帶鋼尾部位置的實時跟蹤,可實現(xiàn)尾部識別以及跟蹤的自動化并給出控制信號控制卷取機停止位置,極大減少人力成本。
- 責(zé)任描述:開發(fā)代碼實現(xiàn)從原始視頻數(shù)據(jù)中自動篩選符合算法應(yīng)用場景的頓;
- 獲取圖像數(shù)據(jù)后的相關(guān)處理(清洗、標注等),并制作數(shù)據(jù)集;
- 設(shè)計并訓(xùn)練深度學(xué)習(xí)模型實現(xiàn)卷取機帶鋼尾部的形狀分類;
- 設(shè)計數(shù)據(jù)統(tǒng)計算法統(tǒng)計模型輸出分類及位置結(jié)果并計算尾部長寬比;
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自我評價
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本人對待工作踏實,認真,并且極富工作和團隊精神,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,相信能夠協(xié)助主管人員出色地完成各項工作。綜合素質(zhì)佳,能夠吃苦耐勞,忠誠穩(wěn)重堅守誠信正直原則,感謝您在百忙之中閱覽我的簡歷,靜候佳音!
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作品展示
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+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)