在這個實踐課程中，你將使用 YOLO v3 演算法來訓練你自己的物件檢測器( Object Detector )。
https://softnshare.com/training-yolo-v3-for-objects-detection-with-custom-data/
object detection 在 軟體開發學習資訊分享 Facebook 的最佳貼文
同時也有11部Youtube影片，追蹤數超過9萬的網紅Shiney，也在其Youtube影片中提到，Watch Dogs: Legion ซื้อเกมได้ที่ https://store.epicgames.com/legendauser/watch-dogs-legion Watch Dogs: Legion is an action-adventure game played from...
「object detection」的推薦目錄：
- 關於object detection 在 軟體開發學習資訊分享 Facebook 的最佳貼文
- 關於object detection 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最讚貼文
- 關於object detection 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳解答
- 關於object detection 在 Shiney Youtube 的精選貼文
- 關於object detection 在 Shiney Youtube 的最佳貼文
- 關於object detection 在 Shiney Youtube 的最讚貼文
- 關於object detection 在 End-to-end object detection with Transformers - Facebook AI 的評價
object detection 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最讚貼文
Object Detection & Segmentation
https://www.facebook.com/programmerthai/photos/a.2410667485889755/2688470131442821/
object detection 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳解答
ตัวอย่างโค้ด AI (ปัญญาประดิษฐ์)
สำหรับงาน machine learning + deep learning โดยเฉพาะ
จริงๆ แล้วโค้ดหลายโปรเจค
ก็เคยแชร์โค้ดไปนานแล้ว
แม้ว่าจะเก่าหน่อย แต่ก็ยังใช้ได้
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แต่เนื่องจากการเซทอัพโปรเจคในเครื่องตัวเอง
มันแสนยุ่งยาก เวอร์ชั่นไลบรารี่เปลี่ยนทีชีวิตเปลี่ยน
ผมเลยทำตัวอย่างการเขียนไว้บนเว็บ (colab)
เพื่อนๆ จะได้ลองศึกษากันได้ไปเลย
สามารถ Ctrl+C และ Ctl+v เอาไปใช้ได้
แต่ขอให้เครดิตกันก็พอ
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อันนี้เป็นเพียงบางส่วน
ส่วนโปเจคที่เหลือเดี่ยวจะมาทยอยอัพเดตในโพสต์นี้แหละ
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☑ พื้นฐานเขียนโปรแกรมของเด็กม.ต้น ถ้าไม่มีก็เขียน AI ไม่ได้นะ
https://colab.research.google.com/drive/1rm-kW7Nh5q3kk9JsnvBea2oUr42W9GIF
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☑ พื้นฐาน Tensorflow
https://colab.research.google.com/drive/1iX9d2bl1ogh2qo2U-NTot_XuVbfAqKi9
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☑ พื้นฐาน PYTorch
https://colab.research.google.com/drive/1BtVCWpwWovcVqkvEX5HaUAIyUOlekC0m
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☑ พื้นฐาน Pandas (Dataframe)
https://colab.research.google.com/drive/1LpF3_oz2QIqBIkc1Q8opZyVzujW6Jsq2
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☑ พื้นฐาน numpy ( อาร์เรย์หลายมิติ)
https://colab.research.google.com/drive/1u93d1Tm60YCKUY6CLGz9242NdQNWAQEA
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☑ พื้นฐาน matplotlib เอาไว้พล็อตกราฟ
https://colab.research.google.com/drive/1BPi8jv--sKUSu9apCdYziDptHMtBY_16
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☑ Basic machine learning concept ตั้งแต่
Regression, Logistic Regression, Decision Tree, Support Vector Machine (SVM), Naive Bayes, K-NN (K-Nearest Neighbors), Kmeans และอื่นๆ
https://colab.research.google.com/drive/1ZRMW3fXGWUvkeFPM07qtFXoSbLmuMpO1
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☑ ตัวอย่าง deeplearning การเรียนรู้ขั้นสูง ได้แก่ neural network, CNN, RNN จากภาพตัวเลข
https://colab.research.google.com/drive/1KsGnaw9jE4wnmXK2mf2C4-Ylnj6nXbFw
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☑ AI สัญชาติไทยจาก NECTEC ได้แก่
- BASIC NLP: ประมวลผลภาษาไทย
- TAG SUGGESTION: แนะนำป้ายกำกับ
- MACHINE TRANSLATION: แปลภาษา
- SENTIMENT ANALYSIS: วิเคราะห์ความคิดเห็น
- CHARACTER RECOGNITION: แปลงภาพอักษรเป็นข้อความ
- OBJECT RECOGNITION: รู้จำวัตถุ
- FACE ANALYTICS: วิเคราะห์ใบหน้า
- PERSON & ACTIVITY ANALYTICS: วิเคราะห์บุคคล
- SPEECH TO TEXT: แปลงเสียงพูดเป็นข้อความ
- TEXT TO SPEECH: แปลงข้อความเป็นเสียงพูด
- CHATBOT: สร้างแช็ตบอต
colab.research.google.com/drive/1LRPpzzwJwLIZIy3t7CxljhDjgLq-Z1Ha
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☑ แยกแยะภาพจากโจทย์ Image Net ของโมเดลชื่อดัง เช่น Xception, VGG16, VGG19, ResNet50 และ InceptionV3
(รอก่อน)
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☑ ใช้ AI ตัดคำในภาษาไทย
https://colab.research.google.com/drive/1tLrKRFR6i4TAzrbJ8wgsp4aihfWnMgnT
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☑ Principal_Component_Analysis (PCA)
https://colab.research.google.com/drive/1FoGtB5xW1aWeQ7hlTmuB1AhXuFMx-jTo
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☑ genetic algorithm :
อัลกอริทึมที่มีแรงบันดาลใจมาจากทฤษฎีวิวัฒนาการจากชีววิทยาของ ชาลส์ ดาร์วิน
เพื่อหาเส้นทางสั้นที่สุดในการเดินทางข้าม 20 จังหวัดของประเทศไทย
(รอก่อน)
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☑ การใช้ AI ตรวจจับวัตถุในรูปภาพ Object Detection โดยใช้ imageai
https://colab.research.google.com/drive/1uQnZfPlRhplvcZKWiXn1jeytJIFEVLkV
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☑ ใช้ AI ตรวจจับวัตถุในรูปภาพ โดยใช้ pixellib
https://colab.research.google.com/drive/1llWzReE3rS9wDfSGGm8M7RQ25jeEfSIi
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☑ ตัวอย่าง API ของ Google เป็น tensorflow
https://colab.research.google.com/drive/12K-4uQ1tAvOukLb1-lwXx4bnXkeQupTk
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☑ การใช้ AI ของ Facebook ตรวจจับวัตถุในรูปภาพ Object Detection , Segmentation, Pose Estimate
https://colab.research.google.com/drive/1jnWFADFdZHz1LSyfXVKHY3fIwuY5F_uo
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☑ ใช้โมเดล Mask RCNN ตรวจจับวัตถุในรูปภาพ Object Detection , Segmentation
https://colab.research.google.com/drive/1JGRIMQ1YSdMXkEZdC6QNGbI722tEQJTE
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☑ การใช้ AI ตรวจจับการเคลื่อนไหวของมนุษย์แบบเรียบไทม์ (real time)
https://colab.research.google.com/drive/1zWplcKN6ElL1eJmwKj3IqGFy3gg9Neus
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☑ การใช้ AI จำใบหน้าคนในรูป ในวีดีโอ
https://colab.research.google.com/drive/1MnypOHemKhMEXCaWOgm6-ViYqF7GENWH
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☑ หาจุด landmarks บนใบหน้าแบบ 2 มิติกับ 3 มิติ
https://colab.research.google.com/drive/1MDRYnhhPb2l3w0QIjV9beuc26Ng5BOPc
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☑ การใช้ AI ตรวจจับภาพโป้ 18+ ในรูป หรือแม้กระทั่งภาพการ์ตูนก็ทำได้
https://colab.research.google.com/drive/1aFQgXH9WAvA_aJiZU4GZppWrLnZNJ7Hh
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☑ การใช้ AI แต่งประโยคขึ้นมาเอง
https://colab.research.google.com/drive/1lZoaSLo2Ip-mlBNUFpjKhVAPWDenbRCu
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☑ Google Translate API
ตัวอย่าง Python
https://colab.research.google.com/drive/1aca28YHet8DZ3jw-3wCx-Y40XR-6hpDJ
ตัวอย่าง JavaScript
https://github.com/adminho/javascript/blob/master/examples/google_translate/translate_general.html
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☑ การใช้ AI วินิจฉัยโรค Covid-19 จากภาพเอกซ์เรย์ปอด
https://colab.research.google.com/drive/11ohI5nJiLVc23t2LRUfUmOYBvPYHJDnX
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☑ ใช้ AI ตรวจจับภาพใบหน้าคนถูกแต่งด้วย Phtotoshop หรือไม่
https://colab.research.google.com/drive/1y4zN4AHhx0NYYx7szfW6C5aWsFdZZvml
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☑ ใช้ AI วาดรูปเลียนแบบศิลปินชื่อดัง ( Artistic style)
(รอก่อน)
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☑ ใช้ AI เขียนหนังสือภาษาไทย
(รอก่อน)
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☑ การนำเอา AI มาใช้ในตลาดหุ้นไทย
https://github.com/adminho/trading-stock-thailand
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☑ นำ AI มาเล่นเกมเอง
(รอก่อน)
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☑ การรู้จำเสียงพูดโดยใช้ Google API (Speech Recognition)
- ใช้ javascript+HTML
https://github.com/adminho/javascript/tree/master/examples/speech-recognition/web
- ใช้เสียงควบคุมเกม https://github.com/adminho/javascript/tree/master/examples/speech-recognition/game
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☑ ใช้ AI แต่งดนตรีเอง
(รอก่อน)
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++++ประชาสัมพันธ์+++++++++++++
หนังสือ "AI ไม่ยาก เข้าใจได้ด้วยเลขม.ปลาย"
จะเข้าร่วมแคมเปญลดราคาในวันที่ 7 เดือน 7
ในช่วงวันที่ 7-11 ก.ค. 2564
ของแพลทฟอร์ม meb - mobile e-books
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อุดหนุนกันได้ที่
👉 https://www.mebmarket.com/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ
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ถ้าซื้อผ่าน Web,Android ราคาปกติ 295 บาท เหลือ 221 บาท
ถ้าซื้อผ่านราคา Apple ราคาปกติ $10.99(฿329) ลดเหลือ $7.99(฿249)
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วิธีการซื้อ
1) สมัครเป็นสมาชิกเว็บ www.mebmarket.com ก่อน
2) ดาวน์โหลดแอพของ meb ค้นหาชื่อ meb นี้แหละ (ถ้าจะอ่านบน desktop ก็ดาวน์โหลดโปรแกรมาก่อน)
3) แล้วสั่งซื้อ โอนเงินก็ตามรายละเอียดที่เว็บแนะนำครับผม
4) จากนั้นก็ใช้โปรแกรม หรือแอพของ meb เปิดอ่านหนังสือครับผม
5) ถ้ามีปัญหาติดต่อทางทีม support@mebmarket.com เขาจะให้คำตอบคำผม
(พอดีฝากขายที่นี้ด้านเทคนิคพวกนี้ผมจะไม่รู้ครับ)
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ถ้าเพื่อนๆ ที่อ่านหนังสือผ่านระบบ iOS
เวลาจะชำระเงิน ไม่ควรจ่ายผ่านบัตร
เพราะจะซื้อหนังสือแพงขึ้นครับ
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แนะนำให้ชำระเงิน
- โดยให้เปิดเว็บ https://www.mebmarket.com
- แล้ว login ด้วย username เดียวกับที่เราใช้ใน app บน iOS
- หลังจากนั้นก็เลือกซื้อหนังสือปกติ
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ซื้อเสร็จแล้วมันจะไปโผล่ใน app บน iOS
จากนั้นเพื่อนสามารถเข้าใช้งานด้วย username และ password อันเดียวกันกับหน้าเว็บเลยครับ
จะซื้อได้ในราคาที่เห็นตามเว็บนี้ (ไม่แพง)
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สำหรับวิธีอ่านอีบุ๊กเล่มนี้
ก็ต้องเลือกโปรแกรม/แอพ ให้เหมาะกับระบบที่เราใช้อยู่
วิธีอ่านอีบุ๊กก็ตามลิงก์ต่อไปนี้
https://docs.google.com/document/d/e/2PACX-1vSI4hZgymHgbqhX3CA6anA_18wRy-iXU9oIlupUr-KwAWvJyxI9zdLrJcPUW77xz8lbvRFfW10747Oe/pub
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👉 สารบัญ:
https://drive.google.com/file/d/1L6-XYMVCWYNkvYXZYP9kOuzAIzPfHuaf/view?usp=sharing
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👉 ตัวอย่างแต่ละบท
ตัวอย่างบทที่ 1 แนะนำ AI
📗 https://drive.google.com/file/d/19kzbuRtN14eDEYhNewBh4ZUCa6sexaIf/view?usp=sharing
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ตัวอย่างบทที่ 3 แนะนำ machine learning
📗 https://drive.google.com/file/d/1pe8ty5hVZS0M3zGZe5WliOOTm6Cqv1Ti/view?usp=sharing
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ตัวอย่างบทที่ 4 เรื่อง linear regression
📗
https://drive.google.com/file/d/1ju_wF6c9CNiYWfSzIIuqV9aUuEa4eurh/view?usp=sharing
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ตัวอย่างบทที่ 8 เรื่อง CNN
📗 https://drive.google.com/file/d/1lGqsfXs16mV2IbEJx-4IgDslaHOut1kC/view?usp=sharing
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ตัวอย่างบทที่ 9 เรื่อง RNN, LSTM
📗 https://drive.google.com/file/d/1dxEhj7syoXFAfQB9bqmwXGrfhgz3M7GQ/view?usp=sharing
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ตัวอย่างบทที่ 10 เรื่อง Deep Q Learning
📗 https://drive.google.com/file/d/129-FPDP-9FJrMNsVqWMJdER762jOzs9G/view?usp=sharing
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ตัวอย่างบทที่ 11 เรียนรู้แบบไร้ครูผู้สอน
📗 https://drive.google.com/file/d/15njvUq8Vbq3SRA-PHxVGq8Isr1cL3F3d/view?usp=sharing
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👉 youtube: https://youtu.be/rLo-XdToGFI
👉 รีวิวหนังสือจากผู้เขียนตำราเทพเอกเซล https://www.facebook.com/thepexcel/posts/1424798431031509/
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✍เขียนโดย โปรแกรมเมอร์ไทย thai programmer
object detection 在 Shiney Youtube 的精選貼文
Watch Dogs: Legion
ซื้อเกมได้ที่ https://store.epicgames.com/legendauser/watch-dogs-legion
Watch Dogs: Legion is an action-adventure game played from a third-person perspective, and takes place within an open world setting based upon London, which can be explored either on foot - utilizing parkour moves - vehicles, or fast-travelling via the city's Underground stations. The game is composed of several missions, including those that progress the main story, liberation missions aimed at freeing the city's boroughs featured in the setting, recruitment missions for new playable characters, and various side-activities, with players able to freely pursue a mission or activity, or explore the city for secrets and collectibles. Each mission's objectives can be handled via one or several different approaches: an open-combat approach utilizing a variety of weapons; a stealth approach utilizing the environment to avoid detection and monitoring enemy patterns; or a hacking approach using any hackable object to subdue enemies with traps or distractions, while seeking out objectives via cameras and remotely accessing them. Combat includes a mixture of gun fights - involving lethal and non-lethal fire-arms - and hand-to-hand combat moves, with enemies making use of different methods depending on how the player acts against them in combat (i.e. a guard hit with a punch will use melee attacks). Players can be pursued by enemies when escaping, including hostile drones, but can lose them by utilizing hack-able environmental objects (i.e. vents) and avoiding line of sight with pursuers.
Unlike previous games in the series, Legion features the ability to use multiple characters during a playthrough, each of whom can be recruited from around the game's setting. While the player must choose a character to begin with after the story's prologue chapter, others may be recruited upon completing the initial story missions of the game from anywhere around the game's setting, which can also include those working for hostile factions. Those recruited become operatives that the player can freely switch to at any time, as well as customize with different clothing options, with each recruit-able character maintaining their own lifestyle and occupation when not active (i.e. spending time drinking at a pub). Each character that can be recruited have different traits and skills, based upon their background - a spy operative has access to a silenced pistol and can summon a special spy vehicle to travel around with, armed with rockets; a hooligan operative can summon in friends to help in a fist-fight; a builder operative can make use of large drones for heavy-lifting and a nail-gun for combat; while an "adrenaline junkie" operative can deal more damage, but risk the possibility of being knocked out/dying at any random moments. Operatives can gain experience when used by the player, which allows them to gain additional skills and abilities to improve them, with the player able to provide additional upgrades for all character by spending "tech points" - a collectible scattered around the city, which can be spent on weapon and gadget upgrades.
All potential recruits have an additional statistic, which details whether they can be recruited when approached - their thoughts on DedSec. Some recruits may not join if either they favour those that oppose them (such as a hostile faction), if the player has a character in their roster whom they hate or if DedSec did something to harm another NPC they have good relations with. If a recruit can be brought in, players will be required to complete a mission from them related to a problem they need resolving. An example of such a mission would be helping someone determine why they are being constantly spied on more frequently of late working as a vigilante in shutting down a criminal operation they seek to disrupt. Any character that can be recruited, can be killed during a playthrough by criminal gangs or law enforcement, and thus be permanently removed from the player's roster of playable characters, provided the player has the permadeath option enabled; if not, the character is merely arrested, and can be simply rescued by another operative. If the player loses all their characters from death or arrest, the game ends.
The online component of the game would be introduced through a free post-launch update in December 2020. Players can also join a team of up to four players in cooperative gameplay, sharing progression between single-player and multiplayer modes. They can also access Tactical Ops, which are co-operative missions designed for 4 players, or simply explore London together. The asymmetrical multiplayer mode Invasion would also return. The game also features a competitive multiplayer mode named "Spiderbot Arena" in which players assumes control of a gadget named spiderbot and compete against each other in free for all matches.
object detection 在 Shiney Youtube 的最佳貼文
Watch Dogs: Legion
ซื้อเกมได้ที่ https://store.epicgames.com/legendauser/watch-dogs-legion
Watch Dogs: Legion is an action-adventure game played from a third-person perspective, and takes place within an open world setting based upon London, which can be explored either on foot - utilizing parkour moves - vehicles, or fast-travelling via the city's Underground stations. The game is composed of several missions, including those that progress the main story, liberation missions aimed at freeing the city's boroughs featured in the setting, recruitment missions for new playable characters, and various side-activities, with players able to freely pursue a mission or activity, or explore the city for secrets and collectibles. Each mission's objectives can be handled via one or several different approaches: an open-combat approach utilizing a variety of weapons; a stealth approach utilizing the environment to avoid detection and monitoring enemy patterns; or a hacking approach using any hackable object to subdue enemies with traps or distractions, while seeking out objectives via cameras and remotely accessing them. Combat includes a mixture of gun fights - involving lethal and non-lethal fire-arms - and hand-to-hand combat moves, with enemies making use of different methods depending on how the player acts against them in combat (i.e. a guard hit with a punch will use melee attacks). Players can be pursued by enemies when escaping, including hostile drones, but can lose them by utilizing hack-able environmental objects (i.e. vents) and avoiding line of sight with pursuers.
Unlike previous games in the series, Legion features the ability to use multiple characters during a playthrough, each of whom can be recruited from around the game's setting. While the player must choose a character to begin with after the story's prologue chapter, others may be recruited upon completing the initial story missions of the game from anywhere around the game's setting, which can also include those working for hostile factions. Those recruited become operatives that the player can freely switch to at any time, as well as customize with different clothing options, with each recruit-able character maintaining their own lifestyle and occupation when not active (i.e. spending time drinking at a pub). Each character that can be recruited have different traits and skills, based upon their background - a spy operative has access to a silenced pistol and can summon a special spy vehicle to travel around with, armed with rockets; a hooligan operative can summon in friends to help in a fist-fight; a builder operative can make use of large drones for heavy-lifting and a nail-gun for combat; while an "adrenaline junkie" operative can deal more damage, but risk the possibility of being knocked out/dying at any random moments. Operatives can gain experience when used by the player, which allows them to gain additional skills and abilities to improve them, with the player able to provide additional upgrades for all character by spending "tech points" - a collectible scattered around the city, which can be spent on weapon and gadget upgrades.
All potential recruits have an additional statistic, which details whether they can be recruited when approached - their thoughts on DedSec. Some recruits may not join if either they favour those that oppose them (such as a hostile faction), if the player has a character in their roster whom they hate or if DedSec did something to harm another NPC they have good relations with. If a recruit can be brought in, players will be required to complete a mission from them related to a problem they need resolving. An example of such a mission would be helping someone determine why they are being constantly spied on more frequently of late working as a vigilante in shutting down a criminal operation they seek to disrupt. Any character that can be recruited, can be killed during a playthrough by criminal gangs or law enforcement, and thus be permanently removed from the player's roster of playable characters, provided the player has the permadeath option enabled; if not, the character is merely arrested, and can be simply rescued by another operative. If the player loses all their characters from death or arrest, the game ends.
The online component of the game would be introduced through a free post-launch update in December 2020. Players can also join a team of up to four players in cooperative gameplay, sharing progression between single-player and multiplayer modes. They can also access Tactical Ops, which are co-operative missions designed for 4 players, or simply explore London together. The asymmetrical multiplayer mode Invasion would also return. The game also features a competitive multiplayer mode named "Spiderbot Arena" in which players assumes control of a gadget named spiderbot and compete against each other in free for all matches.
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Watch Dogs: Legion
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Watch Dogs: Legion is an action-adventure game played from a third-person perspective, and takes place within an open world setting based upon London, which can be explored either on foot - utilizing parkour moves - vehicles, or fast-travelling via the city's Underground stations. The game is composed of several missions, including those that progress the main story, liberation missions aimed at freeing the city's boroughs featured in the setting, recruitment missions for new playable characters, and various side-activities, with players able to freely pursue a mission or activity, or explore the city for secrets and collectibles. Each mission's objectives can be handled via one or several different approaches: an open-combat approach utilizing a variety of weapons; a stealth approach utilizing the environment to avoid detection and monitoring enemy patterns; or a hacking approach using any hackable object to subdue enemies with traps or distractions, while seeking out objectives via cameras and remotely accessing them. Combat includes a mixture of gun fights - involving lethal and non-lethal fire-arms - and hand-to-hand combat moves, with enemies making use of different methods depending on how the player acts against them in combat (i.e. a guard hit with a punch will use melee attacks). Players can be pursued by enemies when escaping, including hostile drones, but can lose them by utilizing hack-able environmental objects (i.e. vents) and avoiding line of sight with pursuers.
Unlike previous games in the series, Legion features the ability to use multiple characters during a playthrough, each of whom can be recruited from around the game's setting. While the player must choose a character to begin with after the story's prologue chapter, others may be recruited upon completing the initial story missions of the game from anywhere around the game's setting, which can also include those working for hostile factions. Those recruited become operatives that the player can freely switch to at any time, as well as customize with different clothing options, with each recruit-able character maintaining their own lifestyle and occupation when not active (i.e. spending time drinking at a pub). Each character that can be recruited have different traits and skills, based upon their background - a spy operative has access to a silenced pistol and can summon a special spy vehicle to travel around with, armed with rockets; a hooligan operative can summon in friends to help in a fist-fight; a builder operative can make use of large drones for heavy-lifting and a nail-gun for combat; while an "adrenaline junkie" operative can deal more damage, but risk the possibility of being knocked out/dying at any random moments. Operatives can gain experience when used by the player, which allows them to gain additional skills and abilities to improve them, with the player able to provide additional upgrades for all character by spending "tech points" - a collectible scattered around the city, which can be spent on weapon and gadget upgrades.
All potential recruits have an additional statistic, which details whether they can be recruited when approached - their thoughts on DedSec. Some recruits may not join if either they favour those that oppose them (such as a hostile faction), if the player has a character in their roster whom they hate or if DedSec did something to harm another NPC they have good relations with. If a recruit can be brought in, players will be required to complete a mission from them related to a problem they need resolving. An example of such a mission would be helping someone determine why they are being constantly spied on more frequently of late working as a vigilante in shutting down a criminal operation they seek to disrupt. Any character that can be recruited, can be killed during a playthrough by criminal gangs or law enforcement, and thus be permanently removed from the player's roster of playable characters, provided the player has the permadeath option enabled; if not, the character is merely arrested, and can be simply rescued by another operative. If the player loses all their characters from death or arrest, the game ends.
The online component of the game would be introduced through a free post-launch update in December 2020. Players can also join a team of up to four players in cooperative gameplay, sharing progression between single-player and multiplayer modes. They can also access Tactical Ops, which are co-operative missions designed for 4 players, or simply explore London together. The asymmetrical multiplayer mode Invasion would also return. The game also features a competitive multiplayer mode named "Spiderbot Arena" in which players assumes control of a gadget named spiderbot and compete against each other in free for all matches.
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