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 | 1 | initial version |
This is happening because of the window size you chose. The memory traincascade.exe uses for training a classifier grows exponentially with window size, and there are few home computers that would handle a 100x100 window size in traincascade..
Do this exercise: open your task manager and monitorize the memory usage growing when you start training, you'll notice that the program crashes when it can't allocate more memory. To fix this you'll really have to choose a smaller window size.
| | 2 | No.2 Revision |
This is happening because of the window size you chose. The memory traincascade.exe uses for training a classifier grows exponentially with window size, and there are few home computers that would handle a 100x100 window size in traincascade..
Do this exercise: open your task manager and monitorize the memory usage growing when you start training, you'll notice that the program crashes when it can't allocate more memory. To fix this you'll really have to choose a smaller window size.
As I told you on stackoverflow :P
| | 3 | No.3 Revision |
This is happening because of the window size you chose. The memory traincascade.exe uses for training a classifier grows exponentially with window size, and there are few home computers that would handle a 100x100 window size in traincascade..
Do this exercise: open your task manager and monitorize the memory usage growing when you start training, you'll notice that the program crashes when it can't allocate more memory. To fix this you'll really have to choose a smaller window size.
By the way, if your traincascade application is 32-bit, it wont even use more then 2GB RAM, no matter of how much you have.
As I told you on stackoverflow :P
| | 4 | No.4 Revision |
This is happening because of the window size you chose. The memory traincascade.exe uses for training a classifier grows exponentially with window size, and there are few home computers that would handle a 100x100 window size in traincascade..
Do this exercise: open your task manager and monitorize the memory usage growing when you start training, you'll notice that the program crashes when it can't allocate more memory. To fix this you'll really have to choose a smaller window size.
By the way, if your traincascade application is 32-bit, it wont even use more then 2GB RAM, no matter of how much you have.
As I told you on stackoverflow :P
