Hi, I'm jiho in Nov cohort.

Even if people finish install moviepy, there might be error when import the library. because of ffmpeg exe.

solution is simple: install it

So, I thinks it is better to add these to read.md

Thanks

With Windows 7 , after the condo install -c menpo opencv3=3.1.0 step, I get UnsatisfiableError: The following specifications were found to be in conflict:

• opencv3 3.1.0* -> python 2.7*
• python 3.6*

conda info opencv3=3.1.0 returns

NoPackagesFoundError: Package missing in current win-64 channels:

• opencv3 3.1.0*

Using anaconda search -t conda opencv3, the menpo/opencv3 version 3.2.0 should have a win-64 version available. but changing the top statement to use opencv3=3.2.0 but that doesnt seem to work either. Does anyone have some insight on how to solve this issue I'm having with the included instructions?

The region_of_interest() function says it takes vertices which it passes to cv2.fillPoly(), but it seems like what that function is supposed to take is an Array of shapes.

I think that function should be updated like so:

-cv2.fillPoly(mask, vertices, ignore_mask_color)
+# We need to pass in an array of shapes (each shape is an array of vertices)
+cv2.fillPoly(mask, [vertices], ignore_mask_color)

Causes error: error: /home/travis/miniconda/conda-bld/conda_1486587071158/work/opencv-3.1.0/modules/imgproc/src/drawing.cpp:2276: error: (-215) p.checkVector(2, CV_32S) >= 0 in function fillPoly

See related error http://stackoverflow.com/questions/17241830/opencv-polylines-function-in-python-throws-exception/18817152#18817152

The way that you have laid this out is great and it is easy to get the docker container running, but there are two improvements that would make things easier:

1. run.sh. Having a simple script which will allow calling that very long docker string in this directory. And at least on MacOS making sure that Docker for Mac is started
2. upstream.sh. Having a simple way to make sure that when you fork this repo, you are getting the upstream changes that Udacity is making.

I created a fork with these two simple shell scripts, is this interesting for you guys. I can issue a PR if you like.

I was looking to use OpenCV with Cuda8. I have Cuda8, but have not been successful with getting openCV working with it. Is there any guidelines for that?

The CarND Term1 Starter Kit Anaconda environment only has matplotlib 1.5.3. But matplotlib colors to_rgba requires matplotlib 2.0. Users should update manually.

In P1.ipynb, there are two places where you write: "plt.imshow(gray, cmap='gray')," what is gray (the variable, not the string)? Isn't that just an undefined variable? Did you mean to write "plt.imshow(image, cmap='gray')" in the first instance and "plt.imshow(img, cmap='gray')" in the second?

Traceback (most recent call last): File "C:\Users\Ali\Desktop\Lane Detection\Line_Fit\line_fit_video.py", line 114, in annotate_video('project_video.mp4', 'out.mp4') File "C:\Users\Ali\Desktop\Lane Detection\Line_Fit\line_fit_video.py", line 108, in annotate_video annotated_video = video.fl_image(annotate_image) File "C:\Python27\lib\site-packages\moviepy\video\VideoClip.py", line 533, in fl_image return self.fl(lambda gf, t: image_func(gf(t)), apply_to) File "C:\Python27\lib\site-packages\moviepy\Clip.py", line 136, in fl newclip = self.set_make_frame(lambda t: fun(self.get_frame, t)) File "", line 2, in set_make_frame File "C:\Python27\lib\site-packages\moviepy\decorators.py", line 14, in outplace f(newclip, a, **k) File "C:\Python27\lib\site-packages\moviepy\video\VideoClip.py", line 694, in set_make_frame self.size = self.get_frame(0).shape[:2][::-1] File "", line 2, in get_frame File "C:\Python27\lib\site-packages\moviepy\decorators.py", line 89, in wrapper return f(new_a, **new_kw) File "C:\Python27\lib\site-packages\moviepy\Clip.py", line 95, in get_frame return self.make_frame(t) File "C:\Python27\lib\site-packages\moviepy\Clip.py", line 136, in newclip = self.set_make_frame(lambda t: fun(self.get_frame, t)) File "C:\Python27\lib\site-packages\moviepy\video\VideoClip.py", line 533, in return self.fl(lambda gf, t: image_func(gf(t)), apply_to) File "C:\Users\Ali\Desktop\Lane Detection\Line_Fit\line_fit_video.py", line 66, in annotate_image left_curve, right_curve = calc_curve(left_lane_inds, right_lane_inds, nonzerox, nonzeroy) File "C:\Users\Ali\Desktop\Lane Detection\Line_Fit\line_fit.py", line 241, in calc_curve left_fit_cr = np.polyfit(leftyym_per_pix, leftxxm_per_pix, 2) File "C:\Python27\lib\site-packages\numpy\lib\polynomial.py", line 588, in polyfit c, resids, rank, s = lstsq(lhs, rhs, rcond) File "C:\Python27\lib\site-packages\numpy\linalg\linalg.py", line 1921, in lstsq raise LinAlgError('SVD did not converge in Linear Least Squares') LinAlgError: SVD did not converge in Linear Least Squares

There are several inconsistencies that make this project feel a bit messy:

1. The examples folder only contains one of the five examples files
2. There is a sub directory for test images, but not one for test videos. Test videos are all kept in the root directory for some reason?
3. The project is requesting students write images back into the test image source directory, instead of a destination directory. This will give students the extra task of keeping track of which images are which if they run their pipeline on images more than once (which it seems like they should).

I would be happy to clean this up in a PR (including update the ipython notebook) if you guys are comfortable with it.

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Hello,

So while I was trying to work through this assignment I came across a weird issue, when I am trying to run the region_of_interest() function it is giving me an error message that is

error Traceback (most recent call last) in 7 8 vertices = np.array([[0,0],[300,450],[530,230]],dtype=np.int32) ----> 9 img = region_of_interest(img,vertices) 10 img = gaussian_blur(img,3) 11

in region_of_interest(img, vertices) 39 #filling pixels inside the polygon defined by "vertices" with the fill color 40 ---> 41 cv2.fillPoly(mask, vertices, ignore_mask_color) 42 43 #returning the image only where mask pixels are nonzero

error: OpenCV(4.1.2) C:\projects\opencv-python\opencv\modules\imgproc\src\drawing.cpp:2403: error: (-215:Assertion failed) p.checkVector(2, CV_32S) >= 0 in function 'cv::fillPoly'

Initially I thought the issue is because of the datatype and not using correct datatype but as you can see that even after using the numpy int32 the issue still remains.