Initial Commit

fix load_model to use absolute path

docker-cpu.df

@@ -26,8 +26,9 @@ RUN /opt/conda/bin/python3.5 -m pip install -q -r "requirements.txt"
 COPY enhance.py .
 
 # Get a pre-trained neural networks, non-commercial & attribution.
+RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne1x-photo-deblur-0.3.pkl.bz2"
 RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne1x-photo-repair-0.3.pkl.bz2"
 RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne2x-photo-default-0.3.pkl.bz2"
-
+RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne4x-photo-default-0.3.pkl.bz2"
 # Set an entrypoint to the main enhance.py script
 ENTRYPOINT ["/opt/conda/bin/python3.5", "enhance.py", "--device=cpu"]

docker-gpu.df

@@ -24,8 +24,10 @@ RUN /opt/conda/bin/python3.5 -m pip install -q -r "requirements.txt"
 COPY enhance.py .
 
 # Get a pre-trained neural networks, non-commercial & attribution.
+RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne1x-photo-deblur-0.3.pkl.bz2"
 RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne1x-photo-repair-0.3.pkl.bz2"
 RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne2x-photo-default-0.3.pkl.bz2"
+RUN wget -q "https://github.com/alexjc/neural-enhance/releases/download/v0.3/ne4x-photo-default-0.3.pkl.bz2"
 
 # Set an entrypoint to the main enhance.py script
 ENTRYPOINT ["/opt/conda/bin/python3.5", "enhance.py", "--device=gpu"]

enhance.py

@@ -182,7 +182,7 @@ class DataLoader(threading.Thread):
             seed = seed.resize((orig.size[0]//args.zoom, orig.size[1]//args.zoom), resample=PIL.Image.LANCZOS)
         if len(args.train_jpeg) > 0:
             buffer, rng = io.BytesIO(), args.train_jpeg[-1] if len(args.train_jpeg) > 1 else 15
-            seed.save(buffer, format='jpeg', quality=args.train_jpeg+random.randrange(-rng, +rng))
+            seed.save(buffer, format='jpeg', quality=args.train_jpeg[0]+random.randrange(-rng, +rng))
             seed = PIL.Image.open(buffer)
 
         orig = scipy.misc.fromimage(orig).astype(np.float32)
@@ -384,10 +384,11 @@ class Model(object):
     def load_model(self):
         if not os.path.exists(self.get_filename(absolute=True)):
             if args.train: return {}, {}
+            print(self.get_filename())
             error("Model file with pre-trained convolution layers not found. Download it here...",
                   "https://github.com/alexjc/neural-enhance/releases/download/v%s/%s"%(__version__, self.get_filename()))
         print('  - Loaded file `{}` with trained model.'.format(self.get_filename()))
-        return pickle.load(bz2.open(self.get_filename(), 'rb'))
+        return pickle.load(bz2.open(self.get_filename(absolute=True), 'rb'))
 
     def load_generator(self, params):
         if len(params) == 0: return
@@ -540,9 +541,9 @@ class NeuralEnhancer(object):
         (Ha, Xa), (Hb, Xb) = [np.histogram(i, bins=bins, range=rng, density=True) for i in [A, B]]
         X = np.linspace(rng[0], rng[1], bins, endpoint=True)
         Hpa, Hpb = [np.cumsum(i) * (rng[1] - rng[0]) ** 2 / float(bins) for i in [Ha, Hb]]
-        inv_Ha = scipy.interpolate.interp1d(X, Hpa, bounds_error=False)
-        map_Hb = scipy.interpolate.interp1d(Hpb, X, bounds_error=False)
-        return map_Hb(inv_Ha(A))
+        inv_Ha = scipy.interpolate.interp1d(X, Hpa, bounds_error=False, fill_value='extrapolate')
+        map_Hb = scipy.interpolate.interp1d(Hpb, X, bounds_error=False, fill_value='extrapolate')
+        return map_Hb(inv_Ha(A).clip(0.0, 255.0))
 
     def process(self, original):
         # Snap the image to a shape that's compatible with the generator (2x, 4x)

pyvenv/Scripts/Activate.ps1

@@ -0,0 +1,51 @@
+function global:deactivate ([switch]$NonDestructive) {
+    # Revert to original values
+    if (Test-Path function:_OLD_VIRTUAL_PROMPT) {
+        copy-item function:_OLD_VIRTUAL_PROMPT function:prompt
+        remove-item function:_OLD_VIRTUAL_PROMPT
+    }
+
+    if (Test-Path env:_OLD_VIRTUAL_PYTHONHOME) {
+        copy-item env:_OLD_VIRTUAL_PYTHONHOME env:PYTHONHOME
+        remove-item env:_OLD_VIRTUAL_PYTHONHOME
+    }
+
+    if (Test-Path env:_OLD_VIRTUAL_PATH) {
+        copy-item env:_OLD_VIRTUAL_PATH env:PATH
+        remove-item env:_OLD_VIRTUAL_PATH
+    }
+
+    if (Test-Path env:VIRTUAL_ENV) {
+        remove-item env:VIRTUAL_ENV
+    }
+
+    if (!$NonDestructive) {
+        # Self destruct!
+        remove-item function:deactivate
+    }
+}
+
+deactivate -nondestructive
+
+$env:VIRTUAL_ENV="D:\Programming\Workspace\Neural enhance\neural-enhance\pyvenv"
+
+if (! $env:VIRTUAL_ENV_DISABLE_PROMPT) {
+    # Set the prompt to include the env name
+    # Make sure _OLD_VIRTUAL_PROMPT is global
+    function global:_OLD_VIRTUAL_PROMPT {""}
+    copy-item function:prompt function:_OLD_VIRTUAL_PROMPT
+    function global:prompt {
+        Write-Host -NoNewline -ForegroundColor Green '(pyvenv) '
+        _OLD_VIRTUAL_PROMPT
+    }
+}
+
+# Clear PYTHONHOME
+if (Test-Path env:PYTHONHOME) {
+    copy-item env:PYTHONHOME env:_OLD_VIRTUAL_PYTHONHOME
+    remove-item env:PYTHONHOME
+}
+
+# Add the venv to the PATH
+copy-item env:PATH env:_OLD_VIRTUAL_PATH
+$env:PATH = "$env:VIRTUAL_ENV\Scripts;$env:PATH"

pyvenv/Scripts/activate

@@ -0,0 +1,76 @@
+# This file must be used with "source bin/activate" *from bash*
+# you cannot run it directly
+
+deactivate () {
+    # reset old environment variables
+    if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
+        PATH="${_OLD_VIRTUAL_PATH:-}"
+        export PATH
+        unset _OLD_VIRTUAL_PATH
+    fi
+    if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
+        PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
+        export PYTHONHOME
+        unset _OLD_VIRTUAL_PYTHONHOME
+    fi
+
+    # This should detect bash and zsh, which have a hash command that must
+    # be called to get it to forget past commands.  Without forgetting
+    # past commands the $PATH changes we made may not be respected
+    if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
+        hash -r
+    fi
+
+    if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
+        PS1="${_OLD_VIRTUAL_PS1:-}"
+        export PS1
+        unset _OLD_VIRTUAL_PS1
+    fi
+
+    unset VIRTUAL_ENV
+    if [ ! "$1" = "nondestructive" ] ; then
+    # Self destruct!
+        unset -f deactivate
+    fi
+}
+
+# unset irrelevant variables
+deactivate nondestructive
+
+VIRTUAL_ENV="D:\Programming\Workspace\Neural enhance\neural-enhance\pyvenv"
+export VIRTUAL_ENV
+
+_OLD_VIRTUAL_PATH="$PATH"
+PATH="$VIRTUAL_ENV/Scripts:$PATH"
+export PATH
+
+# unset PYTHONHOME if set
+# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
+# could use `if (set -u; : $PYTHONHOME) ;` in bash
+if [ -n "${PYTHONHOME:-}" ] ; then
+    _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
+    unset PYTHONHOME
+fi
+
+if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
+    _OLD_VIRTUAL_PS1="${PS1:-}"
+    if [ "x(pyvenv) " != x ] ; then
+	PS1="(pyvenv) ${PS1:-}"
+    else
+    if [ "`basename \"$VIRTUAL_ENV\"`" = "__" ] ; then
+        # special case for Aspen magic directories
+        # see http://www.zetadev.com/software/aspen/
+        PS1="[`basename \`dirname \"$VIRTUAL_ENV\"\``] $PS1"
+    else
+        PS1="(`basename \"$VIRTUAL_ENV\"`)$PS1"
+    fi
+    fi
+    export PS1
+fi
+
+# This should detect bash and zsh, which have a hash command that must
+# be called to get it to forget past commands.  Without forgetting
+# past commands the $PATH changes we made may not be respected
+if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
+    hash -r
+fi

pyvenv/Scripts/activate.bat

@@ -0,0 +1,45 @@
+@echo off
+
+rem This file is UTF-8 encoded, so we need to update the current code page while executing it
+for /f "tokens=2 delims=:" %%a in ('"%SystemRoot%\System32\chcp.com"') do (
+    set "_OLD_CODEPAGE=%%a"
+)
+if defined _OLD_CODEPAGE (
+    "%SystemRoot%\System32\chcp.com" 65001 > nul
+)
+
+set "VIRTUAL_ENV=D:\Programming\Workspace\Neural enhance\neural-enhance\pyvenv"
+
+if not defined PROMPT (
+    set "PROMPT=$P$G"
+)
+
+if defined _OLD_VIRTUAL_PROMPT (
+    set "PROMPT=%_OLD_VIRTUAL_PROMPT%"
+)
+
+if defined _OLD_VIRTUAL_PYTHONHOME (
+    set "PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%"
+)
+
+set "_OLD_VIRTUAL_PROMPT=%PROMPT%"
+set "PROMPT=(pyvenv) %PROMPT%"
+
+if defined PYTHONHOME (
+    set "_OLD_VIRTUAL_PYTHONHOME=%PYTHONHOME%"
+    set PYTHONHOME=
+)
+
+if defined _OLD_VIRTUAL_PATH (
+    set "PATH=%_OLD_VIRTUAL_PATH%"
+) else (
+    set "_OLD_VIRTUAL_PATH=%PATH%"
+)
+
+set "PATH=%VIRTUAL_ENV%\Scripts;%PATH%"
+
+:END
+if defined _OLD_CODEPAGE (
+    "%SystemRoot%\System32\chcp.com" %_OLD_CODEPAGE% > nul
+    set "_OLD_CODEPAGE="
+)

pyvenv/Scripts/deactivate.bat

@@ -0,0 +1,21 @@
+@echo off
+
+if defined _OLD_VIRTUAL_PROMPT (
+    set "PROMPT=%_OLD_VIRTUAL_PROMPT%"
+)
+set _OLD_VIRTUAL_PROMPT=
+
+if defined _OLD_VIRTUAL_PYTHONHOME (
+    set "PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%"
+    set _OLD_VIRTUAL_PYTHONHOME=
+)
+
+if defined _OLD_VIRTUAL_PATH (
+    set "PATH=%_OLD_VIRTUAL_PATH%"
+)
+
+set _OLD_VIRTUAL_PATH=
+
+set VIRTUAL_ENV=
+
+:END

pyvenv/pyvenv.cfg

@@ -0,0 +1,3 @@
+home = C:\Python37
+include-system-site-packages = true
+version = 3.7.2