(Apologies for cross-postings)
It took longer than I thought but the new cv.jit is out. On the Mac, Mach-O support is finally implemented so that there should be no problem using the externals with Jitter 1.6. A good number of externals have also been added to the distribution. Highlights include:
-Face detection: You can now easily identify rectangular areas likely to contain frontal views of human faces.
-Much improved labeling support: You can now compute centroids, moments and shape parameters for each blob separately. You can perform shape recognition on blobs, and a tool for re-ordering labels so that they don't easily change from frame to frame is provided.
-Feature detection: Those who have used cv.jit.track may have noticed that some pixels "stick" better than others. You can now easily identify such pixels beforehand and initialize tracking to the best possible position.
-Line detection: Find straight lines in greyscale images.
-Drawing tools: Several abstractions are available for displaying data on incoming images.
-Though the pdf manual is no longer updated, every external and abstraction (with the exception of the drawing tools) have their own help files.
-Some objects have been deprecated but are still provided for patch compatibility.