Week 5 & 6

The last week I spend a considerable amount of time on just understanding the pascal data set its self, I wrote a wiki page detailing how pascal works and how the data is ogansized. By doing this I gained a greater understanding of the system im now using.

Also I’ve contined to work on the training the algorithm and even though I have seen it fully train before, I started hitting a problem to which nearing the end of the trainning process MatLab runs out of memory. To resolve this, I’ve trierd incressing the virtual memeory and ending all non essentual system processes on the system. But this did not resolve the issue so at this point I’ve borrowed more memory from another system and will now run the trainning process again with 6.5gb of RAM.

Week 4

Managed to finally get a model to train in fully which is good, The problem seems to be that the algorithm looks for files that are not present in the earlier versions of the pascal dataset.

This week I’ve been working on understanding the pascal development kit in order to better understand the full code.

Week 3

The last week or so has been spent trying to get over a problem with the training code however the inital problems has been fixed, Simular problem have arose later on in the training.

This week we had a meeting to discuss the inner workings of the classification part of the algorithm, specifically how the part based HOG detector worked. Which gave myself a better understanding of how the system actually works.

The current plan is to continue attempting to get the training working and then look in to how to used our data with the detector.  This will involved some annotating of data and adjustments of the code.