大恒深度学习

1. SamplingSize := 7
   
2. FeatureSize := 80
   
3. for I := 0 to |ValidationImages|-1 by 1
   
4.     read_image (ImageSelected, ValidationImages[I])
   
5.     dev_resize_window_fit_image (ImageSelected, 0, 0, -1, -1)
   
6.     dev_display_dl_classifier_heatmap (ImageSelected, DLModelHandle, ['feature_size','sampling_size'], [FeatureSize,SamplingSize], WindowHandle)
   
7.     dev_disp_heatmap_result_text (ValidationLabels[I], Top1ClassValidation[I])   
   
8.     dump_window(WindowHandle, 'png', 'heatmap')///Write the window content to a file.  将窗口整体变成一个图片写入到硬盘
   
9.     stop()
   
10. endfor
    
11. clear_dl_classifier (DLModelHandle)//释放句柄，避免内存泄露

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最后一步就是训练了

1. TestImageDir := 'test/'
   
2. ClassifyThreshold := 0.8
   
3. 
   
4. TestImageDir := 'test/'
   
5. 
   
6. ClassifyThreshold := 0.8
   
7. dev_update_off()
   
8. dev_close_window ()
   
9. read_dl_classifier ('model_best.hdl', DLModelHandle)
   
10. set_dl_classifier_param (DLModelHandle, 'batch_size', 1)
    
11. get_dl_classifier_param(DLModelHandle, 'image_dimensions', ImageSize)
    
12. get_dl_classifier_param(DLModelHandle, 'classes', Classes)
    
13. 
    
14. for I := 0 to |Classes|-1 by 1
    
15.     OutputDir:= TestImageDir+Classes[I] + '/'
    
16.     file_exists (OutputDir, FileExists)
    
17.     if (not FileExists)
    
18.         make_dir (OutputDir)
    
19.     endif
    
20. endfor
    
21. 
    
22. SamplingSize := 7
    
23. FeatureSize := 80
    
24. list_image_files (TestImageDir, 'default', 'recursive', ImageFiles)
    
25. read_image (Image, ImageFiles[0])
    
26. get_image_size(Image, Width, Height)
    
27. count_channels(Image, Channels)
    
28. tuple_max2(Width, Height, Max)
    
29. WndWidth := Width * 600 / Max
    
30. WndHeight := Height * 600 / Max
    
31. dev_open_window(0, 0, WndWidth, WndHeight, 'black', WindowHandle)
    
32. set_font(WindowHandle, 'default-24')
    
33. Seconds := 0
    
34. 
    
35. for I := 0 to |ImageFiles|-1 by 1
    
36.     read_image (Image, ImageFiles[I])
    
37.     count_seconds(Start)
    
38.     zoom_image_size (Image, ImagePreprocessed, ImageSize[0], ImageSize[1], 'constant')
    
39.     convert_image_type (ImagePreprocessed, ImagePreprocessed, 'real')
    
40.     scale_image (ImagePreprocessed, ImagePreprocessed, 1, -127)
    
41.     apply_dl_classifier (ImagePreprocessed, DLModelHandle, DLResult)
    
42.     count_seconds(End)
    
43.     Seconds := Seconds + End - Start
    
44.     get_dl_classifier_result (DLResult, 'all', 'predicted_classes', PredictedClass)
    
45.     get_dl_classifier_result (DLResult, 'all', 'confidences', Confidence)
    
46.     dev_display(Image)
    
47.         dev_disp_text (PredictedClass + ', ' + Confidence$'.2f' + '   ' + (I+1) + '/' + |ImageFiles|, 'window', 'top', 'left', 'green', 'box', 'true')        
    
48.      if(Confidence > ClassifyThreshold)
    
49.         parse_filename (ImageFiles[I], BaseName, Extension, Directory)
    
50.         write_image(Image, 'png', 0, TestImageDir + PredictedClass + '/' + BaseName + '.' + Extension)
    
51.         delete_file (ImageFiles[I])
    
52.      endif
    
53. endfor
    
54. 
    
55. ImageProcTimeMs :=  1000.0 * Seconds / |ImageFiles|
    
56. FPS :=  |ImageFiles| / Seconds
    
57. dev_disp_text ('image:' + Width + '×' + Height + '×' + Channels + '×' + |ImageFiles| + ', fps=' + FPS$'.2f', 'window', 'center', 'left', 'green', 'box', 'true')

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缺少目标检测的视频

wenluderen 发表于 2020-5-26 08:23
第一节课主题是分类识别，是李东平老师讲解的
***
分类识别是目标检测 和分割的基础，

版主，代码再哪里 实例代码再哪里 分享下

thanks! for your share..........

onedrivelive....    this item might note exist or is no longer available~~~ 大佬求一个百度盘的链接。

可不可以发我一份到邮箱3137179791@qq.com 非常感谢

可以不要分享出来，网址打不开了，网上只找到第一章的PDF

网址打不开了，能麻烦您把视频和源代码传一份到百度网盘上吗？

（大恒深度学习）插个眼，有空再来看看。。。