I have a set of images and want to make a cross matching between all and display the results using trackbars using OpenCV 2.4.6 (ROS Hydro package). The matching part is done using a vector of vectors of vectors of cv::DMatch-objects:
image[0] --- image[3] -------- image[8] ------ ...
| | |
| cv::DMatch-vect cv::DMatch-vect
|
image[1] --- ...
|
image[2] --- ...
|
...
|
image[N] --- ...
Because we omit matching an image with itself (no point in doing that) and because a query image might not be matched with all the rest each set of matched train images for a query image might have a different size from the rest. Note that the way it's implemented right I actually match a pair of images twice, which of course is not optimal (especially since I used a BruteForce matcher with cross-check turned on, which basically means that I match a pair of images 4 times!) but for now that's it. In order to avoid on-the-fly drawing of matched pairs of images I have populated a vector of vectors of cv::Mat-objects. Each cv::Mat represents the current query image and some matched train image (I populate it using cv::drawMatches()):
image[0] --- cv::Mat[0,3] ---- cv::Mat[0,8] ---- ...
|
image[1] --- ...
|
image[2] --- ...
|
...
|
image[N] --- ...
Note: In the example above cv::Mat[0,3] stands for cv::Mat that stores the product of cv::drawMatches() using image[0] and image[3].
Here are the GUI settings:
Main window: here I display the current query image. Using a trackbar - let's call it TRACK_QUERY - I iterate through each image in my set.
Secondary window: here I display the matched pair (query,train), where the combination between the position of TRACK_QUERY's slider and the position of the slider of another trackbar in this window - let's call it TRACK_TRAIN - allows me to iterate through all the cv::Mat-match-images for the current query image.
The issue here comes from the fact that each query can have a variable number of matched train images. My TRACK_TRAIN should be able to adjust to the number of matched train images, that is the number of elements in each cv::Mat-vector for the current query image. Sadly so far I was unable to find a way to do that. The cv::createTrackbar() requires a count-parameter, which from what I see sets the limit of the trackbar's slider and cannot be altered later on. Do correct me if I'm wrong since this is exactly what's bothering me. A possible solution (less elegant and involving various checks to avoid out-of-range erros) is to take the size of the largest set of matched train images and use it as the limit for my TRACK_TRAIN. I would like to avoid doing that if possible. Another possible solution involves creating a trackbar per query image with the appropriate value range and swap each in my secondary windows according to the selected query image. For now this seems to be the more easy way to go but poses a big overhead of trackbars not to mention that fact that I haven't heard of OpenCV allowing you to hide GUI controls. Here are two example that might clarify things a little bit more:
Example 1:
In main window I select image 2 using TRACK_QUERY. For this image I have managed to match 5 other images from my set. Let's say those are image 4, 10, 17, 18 and 20. The secondary window updates automatically and shows me the match between image 2 and image 4 (first in the subset of matched train images). TRACK_TRAIN has to go from 0 to 4. Moving the slider in both directions allows me to go through image 4, 10, 17, 18 and 20 updating each time the secondary window.
Example 2:
In main window I select image 7 using TRACK_QUERY. For this image I have managed to match 3 other images from my set. Let's say those are image 0, 1, 11 and 19. The secondary window updates automatically and shows me the match between image 2 and image 0 (first in the subset of matched train images). TRACK_TRAIN has to go from 0 to 2. Moving the slider in both directions allows me to go through image 0, 1, 1 and 19 updating each time the secondary window.
If you have any questions feel free to ask and I'll to answer them as well as I can. Thanks in advance!
PS: Sadly the way the ROS package is it has the bare minimum of what OpenCV can offer. No Qt integration, no OpenMP, no OpenGL etc.
After doing some more research I'm pretty sure that this is currently not possible. That's why I implemented the first proposition that I gave in my question - use the match-vector with the most number of matches in it to determine a maximum size for the trackbar and then use some checking to avoid out-of-range exceptions. Below there is a more or less detailed description how it all works. Since the matching procedure in my code involves some additional checks that does not concern the problem at hand, I'll skip it here. Note that in a given set of images we want to match I refer to an image as object-image when that image (example: card) is currently matched to a scene-image (example: a set of cards) - top level of the matches-vector (see below) and equal to the index in processedImages (see below). I find the train/query notation in OpenCV somewhat confusing. This scene/object notation is taken from http://docs.opencv.org/doc/tutorials/features2d/feature_homography/feature_homography.html. You can change or swap the notation to your liking but make sure you change it everywhere accordingly otherwise you might end up with a some weird results.
// stores all the images that we want to cross-match
std::vector<cv::Mat> processedImages;
// stores keypoints for each image in processedImages
std::vector<std::vector<cv::Keypoint> > keypoints;
// stores descriptors for each image in processedImages
std::vector<cv::Mat> descriptors;
// fill processedImages here (read images from files, convert to grayscale, undistort, resize etc.), extract keypoints, compute descriptors
// ...
// I use brute force matching since I also used ORB, which has binary descriptors and HAMMING_NORM is the way to go
cv::BFmatcher matcher;
// matches contains the match-vectors for each image matched to all other images in our set
// top level index matches.at(X) is equal to the image index in processedImages
// middle level index matches.at(X).at(Y) gives the match-vector for the Xth image and some other Yth from the set that is successfully matched to X
std::vector<std::vector<std::vector<cv::DMatch> > > matches;
// contains images that store visually all matched pairs
std::vector<std::vector<cv::Mat> > matchesDraw;
// fill all the vectors above with data here, don't forget about matchesDraw
// stores the highest count of matches for all pairs - I used simple exclusion by simply comparing the size() of the current std::vector<cv::DMatch> vector with the previous value of this variable
long int sceneWithMaxMatches = 0;
// ...
// after all is ready do some additional checking here in order to make sure the data is usable in our GUI. A trackbar for example requires AT LEAST 2 for its range since a range (0;0) doesn't make any sense
if(sceneWithMaxMatches < 2)
return -1;
// in this window show the image gallery (scene-images); the user can scroll through all image using a trackbar
cv::namedWindow("Images", CV_GUI_EXPANDED | CV_WINDOW_AUTOSIZE);
// just a dummy to store the state of the trackbar
int imagesTrackbarState = 0;
// create the first trackbar that the user uses to scroll through the scene-images
// IMPORTANT: use processedImages.size() - 1 since indexing in vectors is the same as in arrays - it starts from 0 and not reducing it by 1 will throw an out-of-range exception
cv::createTrackbar("Images:", "Images", &imagesTrackbarState, processedImages.size() - 1, on_imagesTrackbarCallback, NULL);
// in this window we show the matched object-images relative to the selected image in the "Images" window
cv::namedWindow("Matches for current image", CV_WINDOW_AUTOSIZE);
// yet another dummy to store the state of the trackbar in this new window
int imageMatchesTrackbarState = 0;
// IMPORTANT: again since sceneWithMaxMatches stores the SIZE of a vector we need to reduce it by 1 in order to be able to use it for the indexing later on
cv::createTrackbar("Matches:", "Matches for current image", &imageMatchesTrackbarState, sceneWithMaxMatches - 1, on_imageMatchesTrackbarCallback, NULL);
while(true)
{
char key = cv::waitKey(20);
if(key == 27)
break;
// from here on the magic begins
// show the image gallery; use the position of the "Images:" trackbar to call the image at that position
cv::imshow("Images", processedImages.at(cv::getTrackbarPos("Images:", "Images")));
// store the index of the current scene-image by calling the position of the trackbar in the "Images:" window
int currentSceneIndex = cv::getTrackbarPos("Images:", "Images");
// we have to make sure that the match of the currently selected scene-image actually has something in it
if(matches.at(currentSceneIndex).size())
{
// store the index of the current object-image that we have matched to the current scene-image in the "Images:" window
int currentObjectIndex = cv::getTrackbarPos("Matches:", "Matches for current image");
cv::imshow(
"Matches for current image",
matchesDraw.at(currentSceneIndex).at(currentObjectIndex < matchesDraw.at(currentSceneIndex).size() ? // is the current object index within the range of the matches for the current object and current scene
currentObjectIndex : // yes, return the correct index
matchesDraw.at(currentSceneIndex).size() - 1)); // if outside the range show the last matched pair!
}
}
// do something else
// ...
The tricky part is the trackbar in the second window responsible for accessing the matched images to our currently selected image in the "Images" window. As I've explained above I set the trackbar "Matches:" in the "Matches for current image" window to have a range from 0 to (sceneWithMaxMatches-1). However not all images have the same amount of matches with the rest in the image set (applies tenfold if you have done some additional filtering to ensure reliable matches for example by exploiting the properties of the homography, ratio test, min/max distance check etc.). Because I was unable to find a way to dynamically adjust the trackbar's range I needed a validation of the index. Otherwise for some of the images and their matches the application will throw an out-of-range exception. This is due to the simple fact that for some matches we try to access a match-vector with an index greater than it's size minus 1 because cv::getTrackbarPos() goes all the way to (sceneWithMaxMatches - 1). If the trackbar's position goes out of range for the currently selected vector with matches, I simply set the matchDraw-image in "Matches for current image" to the very last in the vector. Here I exploit the fact that the indexing can't go below zero as well as the trackbar's position so there is not need to check this but only what comes after the initial position 0. If this is not your case make sure you check the lower bound too and not only the upper.
Hope this helps!
Related
I've followed "Procedural Generation in Godot: Dungeon Generation" by KidsCanCode #https://www.youtube.com/watch?v=o3fwlk1NI-w and find myself unable to debug the current problem.
This specific commit has the code, but I'll try to explain in more detail bellow.
My main scene has a Camera2D node, a generic Node2D calles Rooms and a TileMap, everything is empty.
When the script starts, it runs a
func make_room(_pos, _size):
position = _pos
size = _size
var s = RectangleShape2D.new()
s.custom_solver_bias = 0.5
s.extents = size
$CollisionShape2D.shape = s
A few times and it fills $Rooms using .add_child(r) where r is a instance of the node that has the make_room() function. It will then iterate over $Rooms.get_children() a few times to create a AStar node to link all the rooms:
The magic comes when make_map() is called after afterwards, it fills the map with non-walkable blocks and then it carves the empty spaces, which works fine too:
There is a find_start_room() that is called to find the initial room, it also sets a global variable to the Main script start_room, which is used to write 'Start' on the map using draw_string(font, start_room.position - Vector2(125,0),"start",Color(3,4,8))
When I hit 'esc' it runs this simple code to instance the player:
player = Player.instance()
add_child(player)
player.position = start_room.position + Vector2(start_room.size.x/2, start_room.size.y/2)
play_mode = true
The problem comes when spawning the player. I tried doing some 'blind' fixing, such as adding or subtracting a Vector2(start_room.size.x/2, start_room.size.y/2) to player.position to see if I could make it fall within the room, to no avail.
Turning to the debugger didn't help, as the positions expressed by the variable inspectors don't seem to mean anything.
I tried implementing a simple 'mouse click print location':
print("Mouse Click/Unclick at: ", event.position)
print("Node thing",get_node("/root/Main/TileMap").world_to_map(event.position))
And also a 'start_room' print location:
print(get_node("/root/Main/TileMap").world_to_map(start_room.position))
And a when player moves print location, written directly into the Character script:
print(get_node("/root/Main/TileMap").world_to_map(self.position))
Getting results like the ones bellow:
Mouse Click/Unclick at: (518, 293)
Node thing(16, 9)
(-142, 0)
(-147, -3)
So, the player doesn't spawn on the same position as the start_room and the mouse position information is not the same as anything else.
Why is the player now spawning correctly? How can I debug this situation?
EDIT1: User Theraot mentioned about how the RigidBody2D is doing some weird collisions, and from what I understood, changing their collision behavior should fix the whole thing.
There's a section on the code that -after generating the random rooms- it removes some of the rooms like this:
for room in $Rooms.get_children():
if randf() < cull:
room.queue_free()
else:
room.mode = RigidBody2D.MODE_STATIC
room_positions.append(Vector3(room.position.x, room.position.y, 0))
From what I understand, if the room is randomly selected it will be deleted using queue_free() OR it will be appended to a room_positions for further processing. This means if I shift all the rooms to a different collision layer, the player/character instance would be alone with the TileMap on the same collision layer.
So I just added a simple room.collision_layer = 3 changing this section of the code to
for room in $Rooms.get_children():
if randf() < cull:
room.queue_free()
else:
room.mode = RigidBody2D.MODE_STATIC
room.collision_layer = 3
room_positions.append(Vector3(room.position.x, room.position.y, 0))
It doesn't seem to have changed anything, the player still spawns outside the room.
Do you see the rooms spread outwards?
You didn't write code to move the rooms. Sure, the code gives them a random position. But even if you set their position to Vector2.ZERO they move outwards, avoiding overlaps.
Why? Because these rooms are RigidBody2D, and they do push other physics objects. Such as other rooms or the player character.
That's the problem: These rooms are RigidBody2D, and you put your KinematicBody2D player character on top of one of them. The RigidBody2D pushes it out.
The tutorial you followed is exploiting this behavior of RigidBody2Ds to spread the rooms. However you don't need these RigidBody2D after you are done populating your TileMap.
Instead, you can store the start position in a variable for later placing the player character (you don't need offsets - by the way - the position of the room is the center of the room), and then remove the RigidBody2Ds. If you want to keep the code that writes the text, you would also have to modify it, so it does not fail when the room no longer exists.
Alternatively, you can edit their collision layer and mask so they don't collide with the player character (or anything for that matter, but why would you want these RigidBody2Ds that collide with nothing?).
Addendum post edit: Collision layers and mask don't work as you expect.
First of all, the collision layer and mask are flags. The values of the layers are powers of two (1, 2, 4, 8...). So, when you set it to 3, it is the layer 1 plus the layer 2. So it still collides with a collision mask of 1.
And second, even if you changed the collision layer of the rooms to 2 (so it does not match the collision mask of 1 that the player character has). The player character still has a layer 1 which match the collision mask of the rooms.
See also the proposal Make physics layers and masks logic simple and consistent.
Thus, you would need to change the layer and mask. Both. in such way that they don't collide. For example, you can set layer and mask to 0 (which disable all collisions). The algorithm that populates the TileMap does not use the layer and mask.
This is a bit of a long-shot. I really don't know where to ask this question.
I've been trying out CodeConnection + MakeCode with Minecraft and I haven't been able to figure out if there is correct way to place half-slabs at 0.5 step y axes increments.
I tried using a line between 2 points, but it left gaps between each slab.
If I try moving up 0.5, then it rounds it up to 1, and again leaves gaps.
It appears that all of the builder functions seem operate at a resolution of 1 block. However in-game I can obviously place slabs in 0.5 block increments to make stairs etc.
Blocks only exist at integer coordinates. Half slabs that exist in the top half of their space are still at a full integer coordinate. They just have a BlockState value of bottom=top (or top_slot_bit=true on Bedrock, represented by the integer value 8 as a bitflag, eg: 0b1... where the . bits are the integer representation of what type of slab (wood, stone, quartz...)).
What you're looking for is this widget, under Blocks:
You can set the block and then an integer representation of the desired data value (see the wiki on data values) in the numerical slot. This widget can then be dragged into the (block) portion of any block widget:
You'll probably have to some variable fiddling to get the data value to swap back and forth as you need it to, but that should solve the hurdle you've been facing.
I am using Apache PDFBox for configuration of PDTextField's on a PDF document where I load Lato onto the document using:
font = PDType0Font.load(
#j_pd_document,
java.io.FileInputStream.new('/path/to/Lato-Regular.ttf')
) # => Lato-Regular
font_name = pd_default_resources.add(font).get_name # => F4
I then pass the font_name into a default_appearance_string for the PDTextField like so:
j_text_field.set_default_appearance("/#{font_name} 0 Tf 0 g") # where font_name is
# passed in from above
The issue now occurs when I proceed to invoke setValue on the PDTextField. Because I set the font_size in the defaultAppearanceString to 0, according to the library's example, the text should scale itself to fit in the text box's given area. However, the behaviour of this 'scale-to-fit' is inconsistent for certain fields: it does not always choose the largest font size to fit in the PDTextField. Might there be any further configuration that might allow for this to happen? Below are the PDFs where I've noticed this problem occurring.
Unfilled, with fonts loaded:
http://www.filedropper.com/0postfontload
Filled, with inconsisteny textbox text sizing:
http://www.filedropper.com/file_327
Side Note: I am using PDFBox through jruby which is just a integration layer that allows Ruby to invoke Java libraries. All java methods for the library available; a java method like thisExampleMethod would have a one-to-one translation into ruby this_example_method.
Updates
In response to comments, the appearances that are incorrect in the second uploaded file example are:
1st page Resident Name field (two text fields that have text that is too small for the given input field size)
2nd page Phone fields (four text fields that have text that overflows the given input field size)
Especially the appearances of the Resident Name fields, the Phone fields, and the Care Providers Address fields appear conspicuous. Only the former two are mentioned by the OP.
Let's inspect these fields; all screen shots are made using Adobe Reader DC on MS Windows:
The Resident Name fields
The filled in Resident Name fields look like this
While the height is appropriate, the glyphs are narrower than they should be. Actually this effect can already be seen in the original PDF:
This horizontal compression is caused by the field widget rectangles having a different aspect ratio than the respectively matching normal appearance stream bounding box:
The widget rectangles: [ 45.72 601.44 118.924 615.24 ] and [ 119.282 601.127 192.486 614.927 ], i.e. 73.204*13.8 in both cases.
The appearance bounding box: [ 0 0 147.24 13.8 ], i.e. 147.24*13.8.
So they have the same height but the appearance bounding box is approximately twice as wide as the widget rectangle. Thus, the text drawn normally in the appearance stream gets compressed to half its width when the appearance is displayed in the widget rectangle.
When setting the value of a field PDFBox unfortunately re-uses the appearance stream as is and only updates details from the default appearance, i.e. font name, font size, and color, and the actual text value, apparently assuming the other properties of the appearance are as they are for a reason. Thus, the PDFBox output also shows this horizontal compression
To make PDFBox create a proper appearance, it is necessary to remove the old appearances before setting the new value.
The Phone fields
The filled in Phone fields look like this
and again there is a similar display in the original file
That only the first two letters are shown even though there is enough space for the whole word, is due to the configuration of these fields: They are configured as comb fields with a maximum length of 2 characters.
To have a value here set with PDFBox displayed completely and not so spaced out, you have to remove the maximum length (or at least have to make it no less than the length of your value) and unset the comb flag.
The Care Providers Address fields
Filled in they look like this:
Originally they look similar:
This vertical compression is again caused by the field widget rectangles having a different aspect ratio than the respectively matching normal appearance stream bounding box:
A widget rectangle: [ 278.6 642.928 458.36 657.96 ], i.e. 179.76*15.032.
The appearance bounding box: [ 0 0 179.76 58.56 ], i.e. 179.76*58.56.
Just like in the case of the Resident Name fields above it is necessary to remove the old appearances before setting the new value to make PDFBox create a proper appearance.
A complication
Actually there is an additional issue when filling in the Care Providers Address fields, after removing the old appearances they look like this:
This is due to a shortcoming of PDFBox: These fields are configured as multi line text fields. While PDFBox for single line text fields properly calculates the font size based on the content and later finely makes sure that the text vertically fits quite well, it proceeds very crudely for multi line fields, it selects a hard coded font size of 12 and does not fine tune the vertical position, see the code of the AppearanceGeneratorHelper methods calculateFontSize(PDFont, PDRectangle) and insertGeneratedAppearance(PDAnnotationWidget, PDAppearanceStream, OutputStream).
As in your form these address fields anyways are only one line high, an obvious solution would be to make these fields single line fields, i.e. clear the Multiline flag.
Example code
Using Java one can implement the solutions explained above like this:
final int FLAG_MULTILINE = 1 << 12;
final int FLAG_COMB = 1 << 24;
PDDocument doc = PDDocument.load(originalStream);
PDAcroForm acroForm = doc.getDocumentCatalog().getAcroForm();
PDType0Font font = PDType0Font.load(doc, fontStream, false);
String font_name = acroForm.getDefaultResources().add(font).getName();
for (PDField field : acroForm.getFieldTree()) {
if (field instanceof PDTextField) {
PDTextField textField = (PDTextField) field;
textField.getCOSObject().removeItem(COSName.MAX_LEN);
textField.getCOSObject().setFlag(COSName.FF, FLAG_COMB | FLAG_MULTILINE, false);;
textField.setDefaultAppearance(String.format("/%s 0 Tf 0 g", font_name));
textField.getWidgets().forEach(w -> w.getAppearance().setNormalAppearance((PDAppearanceEntry)null));
textField.setValue("Test");
}
}
(FillInForm test testFill0DropOldAppearanceNoCombNoMaxNoMultiLine)
Screen shots of the output of the example code
The Resident Name field value now is not vertically compressed anymore:
The Phone and Care Providers Address fields also look appropriate now:
This is more of an open discussion topic than anything else. Currently I'm storing 50 Float32 values in my NSMutableArray *voltageArray before I refresh my CPTPlot *plot. Every time I obtain 50 values, I remove the previous 50 from the voltageArray and repeat the process....always displaying the 50 values in "real time" on my plot.
However, the data I'm receiving (which is voltage coming from a Cypress BLE module equipped with a pressure transducer) is so quick that any variation (0.4 V to 4.0 V; no pressure to lots of pressure) cannot be seen on my graph. It just shows up as a straight line, varying up and down without showing increased or decreased slopes.
To show overall change, I wanted to take those 50 values, store them in the first index of another NSMutableArray *stampArray and use the index of stampArray to display information. Meanwhile, the numberOfRecordsForPlot: method would look like this:
- (NSUInteger)numberOfRecordsForPlot:(CPTPlot *)plotnumberOfRecords {
return (DATA_PER_STAMP * _stampCount);
}
This would initially be 50, then after 50 pieces of data are captured from the BLE module, _stampCount would increase by one, and the number of records for plot would increase by 50 (till about 2500-10000 range, then I'd refresh the whole the thing and restart the process.)
Is this the right approach? How would I be able to make the first 50 points stay on the graph, while building the next 50, etc.? Imagine an y = x^2 graph, and what the graph looks like when applying integration (the whole breaking the area under the curve into rectangles).
Look at the "Real Time Plot" demo in the Plot Gallery example app included with Core Plot. It starts off with an empty plot, adding a new point each cycle until reaching the maximum number of points. After that, one old point is removed for each new one added so the total number stays constant. The demo uses a timer to pass random data to the plot, but your app can of course collect data from anywhere. Be sure to always interact with the graph from the main thread.
I doubt you'll be able to display 10,000 data points on one plot (does your display have enough pixels to resolve that many points?). If not, you'll get much better drawing performance if you filter and/or smooth the data to remove some of the points before sending them to the plot.
I have a stream network in ArcGIS - i.e. a series of polylines, and along each stream part I have added points. For each of the points I have extracted the height and flow from underlying rasters and I have also extracted data from the intersecting polylines including minimum, mean and max height of the polyline, the HydroID and the nextdownID. The points also have their own ID but I have noticed these are not in order.
What I would like is to add stepID to each of the points, where at the beginning of each river reach (each polyline) the first point is step 1 and this increments upwards until the end of the reach. So if there were 10 points along a polyline, the first point would have a stepID value of 1 and the last point would have a stepID value of 10.
This sounds quite easy but not sure how to do it. Any help would be great.
You can construct points along the line at specific intervals using the construct points tool/function.
Click the Edit tool Edit Tool on the Editor toolbar.
Click the line feature along which you want to generate points.
Click the Editor menu and click Construct Points.
http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//001t00000029000000.htm
To automate the numbering, you might look into flipping the lines so all the tails point in one direction - up or downstream. Double click on a line, then right click to see the "flip" command. If you use the points set up from the method above, it might order from tail to head.
Another option is to create your own field for the stepID. Create a attribute join to the stream segment, and give each joined record a unique number. Go through your records selecting each group of ten, then sort by FID (check these are in order) then calculate value for stepID = FID - x
where x = the lowest FID in the stream segment's stepID. This thought might help you figure out how to coax the numbers out correctly.
I had this problem before and solved it this way. It is NOT a pretty solution. Would love to hear if there is a more elegant way of doing this
.
For clarity I'll call the pointdataset you mention the 'inputpoints'.
Step 1: getting the points in the right order
If your inputpoints are sometimes far away from the lines, first project them to your lines.
Give your lines a unique line number and join it to the closest inputpoint features
Generate points along lines: use your polylines and genarate a lot of points on them. I'll call this dataset the helperpoints. Fill in a distance that is smaller then the smallest distance between two of your inputpoints.
Make sure your polylines have the right 'direction'. You can check it by using a symbology with arrows, and if needed correct it with the flip editing tool.
Add an IDfield to your helperpoints, type float or double, and create sequential idnumbers in it (https://support.esri.com/en/technical-article/000011137).
Spatial join: the inputpoints are your target, the helperpoints the join features. Keep all the target features. You only need to join the IDfield from the helperpoints. Right click the IDfield in the field map, and make the merge rule 'Mean'. Set the Match option to 'within a distance', and make the search radius 1.5 x the distance that you used in the generate points along line step.
Use the sort tool and sort your spatial join output on the IDfield you just added, then on the lineID you you added on step one. If you have the advanced licence you can do it at once.
Step 2: Generating the StepID
Add a new field to your sort output, and call it StepID
Use the field calculator to fill it. I used this code to make the numbering restart every time there is a new line.
rec=0
oldid = -1
def autoIncrement(lineid):
global rec
global oldid
pStart = 1
pInterval = 1
if rec == 0 or lineid!= oldid :
rec = pStart
else:
rec += pInterval
oldid = lineid
return int(rec)
Expression: autoIncrement( !lineID! )
Expression type: Python
It might still mess up if you have lines very close to each other, or have weird curls on the end. But for the rest this should work!