master
michael 2022-10-27 10:31:42 -07:00
parent b7bb145089
commit d10665fd67
10 changed files with 377 additions and 52 deletions

5
.gitignore vendored
View File

@ -1,5 +1,10 @@
# CUSTOM
images-input/*
!images-input/.gitkeep
images-output/*
!images-output/.gitkeep
config.yaml
.vscode/
*.swp

View File

@ -10,3 +10,7 @@ dev:
clean:
rm -rf static/*
touch static/.gitkeep
batch:
pipenv run python3 batch-process.py

View File

@ -10,6 +10,7 @@ flask = "*"
gunicorn = "*"
werkzeug = "*"
pyyaml = "*"
matplotlib = "*"
[dev-packages]

310
Pipfile.lock generated
View File

@ -1,7 +1,7 @@
{
"_meta": {
"hash": {
"sha256": "0cfa12a983973f0699999da1f8adcf4662998d4d37158ae1eed984cb7b773fc3"
"sha256": "51ddf9dc7440db9ddfb7bb7b45c97b133b214a6be4a7da1cf7fce0ddaabf6fd2"
},
"pipfile-spec": 6,
"requires": {
@ -24,6 +24,89 @@
"markers": "python_version >= '3.7'",
"version": "==8.1.3"
},
"contourpy": {
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@ -32,6 +115,14 @@
"index": "pypi",
"version": "==2.2.2"
},
"fonttools": {
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@ -56,6 +147,80 @@
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"llvmlite": {
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@ -136,6 +301,53 @@
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"sha256:fad858519bd6d52dbfeebdbe04d00dd8e932ed436f1c535e61bcc970a96c11e4"
],
"index": "pypi",
"version": "==3.6.1"
},
"numba": {
"hashes": [
"sha256:0744cf4214ed795eb2df3ed1635d77a6ffcbd990a66a06125548b5fb8ee46323",
@ -217,6 +429,94 @@
"index": "pypi",
"version": "==4.6.0.66"
},
"packaging": {
"hashes": [
"sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb",
"sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"
],
"markers": "python_version >= '3.6'",
"version": "==21.3"
},
"pillow": {
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"markers": "python_version >= '3.7'",
"version": "==9.2.0"
},
"pyparsing": {
"hashes": [
"sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb",
"sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"
],
"markers": "python_full_version >= '3.6.8'",
"version": "==3.0.9"
},
"python-dateutil": {
"hashes": [
"sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86",
"sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==2.8.2"
},
"pyyaml": {
"hashes": [
"sha256:01b45c0191e6d66c470b6cf1b9531a771a83c1c4208272ead47a3ae4f2f603bf",
@ -271,6 +571,14 @@
"markers": "python_version >= '3.7'",
"version": "==65.5.0"
},
"six": {
"hashes": [
"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
"sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.16.0"
},
"werkzeug": {
"hashes": [
"sha256:7ea2d48322cc7c0f8b3a215ed73eabd7b5d75d0b50e31ab006286ccff9e00b8f",

View File

@ -67,23 +67,3 @@ To autoreload on source file changes:
```
gunicorn flask_frontend:app --reload
```
## Temperature maps
**Grayscale pyrometry:** currently basic; uses grayscale opencv import, then just applies a jet filter. Doesn't yet copy the full impl in the paper.
**Ratio pyrometry:** pretty damn close to what's in the paper but it's very broken atm
**Test image:**
![](examples/01-0001-cropped.png)
**Ratio pyrometry result (with convolutional smoothing):**
According to general researcher consensus, ratio pyrometry is supposed to be more accurate.
![](examples/01-0001-cropped-transformed-ratio.png)
**Grayscale pyrometry result:**
![](examples/01-0001-transformed-grayscale.png)

View File

@ -2,14 +2,15 @@ import yaml
import cv2 as cv
import numpy as np
import os
from matplotlib import pyplot as plt, image as mpimg
from ratio_pyrometry import rg_ratio_normalize
config = {}
with open("./config.yaml", "r") as yaml_stream:
config = yaml.safe_load(yaml_stream)
img_in_dir = "./images-input"
img_out_dir = "./images-output"
img_input_dir = "images-input"
img_out_dir = "images-output"
accepted_formats = [
".jpg",
".jpeg",
@ -19,22 +20,21 @@ accepted_formats = [
files = []
for file in os.listdir(img_in_dir):
for file in os.listdir(img_input_dir):
filename = os.fsdecode(file)
valid = False
for fmt in accepted_formats:
if filename.endswith(fmt):
files.append(os.path.join(img_in_dir, filename))
files.append(filename)
valid = True
break
if not valid:
if not valid and filename != ".gitkeep":
print(f"Invalid file extension for {filename}.")
exit
for filename in files:
with open(filename) as imgfile:
# read image & crop
img_orig = cv.imread(imgfile, cv.IMREAD_UNCHANGED)
img_orig = cv.imread(f'{img_input_dir}/{filename}', cv.IMREAD_UNCHANGED)
img = rg_ratio_normalize(
img_orig,
@ -45,6 +45,7 @@ for filename in files:
config['min-temp'],
config['max-temp'],
config['scaling-factor'],
img_out=False
)
# build & apply smoothing conv kernel
@ -56,7 +57,27 @@ for filename in files:
img = cv.filter2D(src=img, ddepth=-1, kernel=kernel)
# write colormapped image
img_jet = cv.applyColorMap(img, cv.COLORMAP_JET)
# chop off alphas & reverse bgr
img_orig = img_orig[:,:,:3]
img_orig = img_orig[:,:,::-1]
# TODO: GENERTE TEMP KEY & OUTPUT MATPLOTLIB
fig = plt.figure()
ax = fig.add_subplot(1, 2, 1)
ax.set_title("Original Image")
imgplot_orig = plt.imshow(img_orig)
ax2 = fig.add_subplot(1, 2, 2)
ax2.set_title("Output Heatmap")
imgplot_final = plt.imshow(img, cmap="plasma")
ticks = np.linspace(
config['min-temp'],
config['max-temp'],
4
).tolist()
cbar = plt.colorbar(
orientation="horizontal",
)
cbar.ax.set_xticklabels([str(t) for t in ticks])
name = filename.split(".")[0]
extension = filename.split(".")[1]
fig.savefig(f"{img_out_dir}/{name}-transformed.{extension}", dpi=120)

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@ -3,7 +3,13 @@
import cv2 as cv
import numpy as np
file = '01-0001-cropped.png'
# edge-detection kernel amplification
AMPLIFIER=9
MIN_INTENSITY=100
# file = '01-0001-cropped.png'
file = 'streaktest.png'
file_name = file.split(".")[0]
file_ext = file.split(".")[1]
@ -13,7 +19,7 @@ img = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
kernel = np.array([
[-1, -1, -1],
[-1, 8, -1],
[-1, AMPLIFIER, -1],
[-1, -1, -1],
])
img = cv.filter2D(src=img, ddepth=-1, kernel=kernel)

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