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Hỏi đáp Xin hỏi về ImageSearch: Tìm ảnh bằng chuỗi base64 hoặc chuỗi binary

Thảo luận trong 'Thảo luận chung - Hỏi đáp' bắt đầu bởi yutijang, 18/11/18.

  1. yutijang

    yutijang Thành viên năng động
    • 28/34

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    Xin chào,

    Mình có làm tool auto game bằng ImageSearch với khoảng 60 ảnh tìm, sẽ trả về tọa độ để click.
    Hôm nay mình thấy có thể chuyển ảnh đó thành chuỗi base64 hoặc chuỗi binary để search, như vậy có thể bỏ bớt được số ảnh kèm theo, có thể để ảnh tìm trong code chính thành file duy nhất.

    Vậy cho mình hỏi bạn nào đã dùng qua cách này thì cho xin ý kiến, nó có làm chậm, nặng máy hơn không? Cách này có tốt hay xấu gì không?

    P/S: Mình đã test thử tìm chuỗi ảnh bằng UDF ImageSearch rồi, nó hoạt động hoàn hảo như tìm file ảnh. Nếu được góp ý rằng nó không ảnh hưởng gì và tương tự tìm kiểu file ảnh thì mình mới dám bắt tay vào làm :)

    Xin cám ơn!
     
  2. CanTrungSo

    CanTrungSo Thành viên mới
    • 3/6

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    Em cũng đang làm nó nè anh , em ko dùng thư viện imagesearch.dll em sử dụng thư viện BMPsearch , nó sẽ tìm đc nhiều ảnh hơn với lại mình chỉ cần so sánh 2 ảnh là ra tọa độ của mình cần tìm .
     
    yutijang thích bài này.
  3. yutijang

    yutijang Thành viên năng động
    • 28/34

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    @CanTrungSo Xin chào! Vậy bạn tìm (hay so sánh 2 ảnh) bằng file ảnh thật hay đã chuyển nó thành chuỗi base64/binary và tìm nó từ bộ nhớ vậy? Nếu tìm bằng chuỗi thì cho mình xin ý kiến là nó chạy nặng hơn không? Mình hỏi vậy vì nếu mình chọn cách tìm chuỗi ảnh cho tool của mình thì phải tốn một khoảng thời gian chuyển code rất lâu :)
     
  4. CanTrungSo

    CanTrungSo Thành viên mới
    • 3/6

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    Em cũng ko phải là dân lập trình , em chỉ tìm hiểu thôi nhưng sau 1 thời gian ngâm củ tỏi và gần xong cái app của em , em đi đến kết luận ... em chuyển ảnh thành dạng bitmap (em cũng ko biết có phải đây là dạng binary hay ko nhưng đọc tên em thấy cũng chắc là vậy..) nhưng trong thư viện BMPsearch cần là 2 ảnh đều phải dạng bitmap . ảnh sau kkhi so sánh xong em đã có 1 tọa độ , sau đó em xóa resource 2 bitmap trên ... em cũng làm lần lượt với các ảnh khác rồi giải phóng bộ nhớ cho nó..
    em mở task manger theo dõi cũng ko có tăng ram lên cao quá đâu anh.
    Theo em là thế thui nhé anh .... vì em cũng giống anh chỉ là newbie.
     
    yutijang thích bài này.
  5. yutijang

    yutijang Thành viên năng động
    • 28/34

    Tham gia ngày:
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    Bài viết:
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    @CanTrungSo Ý mình là như vầy, như cách của bạn thì bạn cần 2 file "Anh1.bmp" và "Anh2.bmp" đặt cùng folder của code chính hoặc bất cứ đâu miễn sao đường dẫn chính xác. Còn cách của mình sử dụng ImageSearch thì cần 1 file ảnh "Anh1.bmp" để nó tìm và so sánh ở màn hình Desktop. Vậy thì nó cần các file ảnh tìm đặt đâu đó trong máy tính và đi kèm với code chính để nó hoạt động được.

    Còn mình muốn hỏi là chuyển các file ảnh .bmp đó qua chuỗi base64 hoặc chuỗi binary, rồi đặt chuỗi (của ảnh tìm) vào code chính luôn. Lúc đó thì không cần phải kèm theo các file ảnh tìm .bmp mà chỉ cần 1 file code chính duy nhất là nó đã hoạt động được. Mình nảy ra ý này vì đã từng đọc 1 bài trên diễn đàn này, hỏi "làm thế nào để cho hình ảnh vào tool vĩnh viễn", có bạn trả lời là dùng FileInstall, nhưng mình thấy không đúng ý câu hỏi hoặc mình tìm hiểu FileInstall chưa tới nơi tới chốn :)
    Link bài viết đó ở đây: http://autoitvn.com/threads/solved-help-add-anh-vao-tool-exe.655/

    Và 1 ảnh tìm sau khi encode sang chuỗi base64 nó như vầy:
    Mã (Text):
    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
    Ý mình là chuỗi này sẽ được đưa thẳng vào code chính, sau đó decode lại trong bộ nhớ và thực hiện lệnh tìm ảnh. Lúc đó mình có thể xóa các ảnh tìm đi kèm với code chính, khi build thì chỉ còn duy nhất 1 file .exe mà nó vẫn hoạt động bình thường, là vậy đó :)
     
    CanTrungSo thích bài này.
  6. yutijang

    yutijang Thành viên năng động
    • 28/34

    Tham gia ngày:
    1/7/18
    Bài viết:
    110
    Đã được thích:
    61
    Đã thử chuyển qua sử dụng chuỗi binary dùng cho ImageSearch, vẫn bình thường như tìm với file ảnh. Câu hỏi đã được trả lời, topic kết thúc tại đây :)
     
    CanTrungSo1 thích bài này.

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