Skip to main content

D40 : Depth of field

Having shot almost exclusively with a compact digital (Canon A510) for the last four years I forgot how much fun and challenging optics is.

The small sensor and the short focal length of the compact, much like older, rangefinder point and shoots (e.g. yashika mg-1) gave almost pinhole camera like behavior. Basically with these cameras infinity was about an arms length or so away and I would be more causal with the focus.

With the D40 its back to the F65 habits. Depth of field is back down (which is what I wanted). But I'm not used to it any more.

For this shot (click for full size crop) I thought "I'll just focus on them clouds there, the trees are at infinity, just like the clouds, it'll be all right". Not so. The trees look annoying because they are slightly out of focus, but you can see the sharp edge of the cloud. f6.3, 18mm. Shoulda stopped down the lens more.

In case there was any doubt, the kit lens can focus:

So I have no one to blame but myself...

Comments

Popular posts from this blog

Flowing text in inkscape (Poster making)

You can flow text into arbitrary shapes in inkscape. (From a hint here).

You simply create a text box, type your text into it, create a frame with some drawing tool, select both the text box and the frame (click and shift) and then go to text->flow into frame.

UPDATE:

The omnipresent anonymous asked:
Trying to enter sentence so that text forms the number three...any ideas?
The solution:
Type '3' using the text toolConvert to path using object->pathSize as necessaryRemove fillUngroupType in actual text in new text boxSelect the text and the '3' pathFlow the text

Python: Multiprocessing: passing multiple arguments to a function

Write a wrapper function to unpack the arguments before calling the real function. Lambda won't work, for some strange un-Pythonic reason.


import multiprocessing as mp def myfun(a,b): print a + b def mf_wrap(args): return myfun(*args) p = mp.Pool(4) fl = [(a,b) for a in range(3) for b in range(2)] #mf_wrap = lambda args: myfun(*args) -> this sucker, though more pythonic and compact, won't work p.map(mf_wrap, fl)

Pandas panel = collection of tables/data frames aligned by index and column

Pandas panel provides a nice way to collect related data frames together while maintaining correspondence between the index and column values:


import pandas as pd, pylab #Full dimensions of a slice of our panel index = ['1','2','3','4'] #major_index columns = ['a','b','c'] #minor_index df = pd.DataFrame(pylab.randn(4,3),columns=columns,index=index) #A full slice of the panel df2 = pd.DataFrame(pylab.randn(3,2),columns=['a','c'],index=['1','3','4']) #A partial slice df3 = pd.DataFrame(pylab.randn(2,2),columns=['a','b'],index=['2','4']) #Another partial slice df4 = pd.DataFrame(pylab.randn(2,2),columns=['d','e'],index=['5','6']) #Partial slice with a new column and index pn = pd.Panel({'A': df}) pn['B'] = df2 pn['C'] = df3 pn['D'] = df4 for key in pn.items: print pn[key] -> output …