OpenCL support: fix bug, adding new requirements files

doc/doc_features.md

@@ -1,6 +1,10 @@
 ### **Features**:
 
-- Windows binary containing pre-compiled dependencies, including CUDA libraries.
+- works on AMD, NVIDIA, IntelHD graphics and all OpenCL1.2-compatible videocards with at least 512M video memory
+
+- CPU-only mode [`--cpu-mode`]. 8th gen Intel core CPU able to train H64 model in 2 days.
+
+- Windows build is standalone ready to work program and contains all dependencies (CUDA, OpenCL, ffmpeg, .bat script etc) to start working
 
 - New models expanding upon the original faceswap model.
 
@@ -8,10 +12,6 @@
 
 - Face metadata embedded into extracted JPG files.
 
-- CPU-only mode [`--cpu-mode`]. 8th gen Intel core CPU able to train H64 model in 2 days.
-
-- Preview window
-
 - Extractor and Converter run in parallel.
 
 - Debug mode option for all stages: [`--debug`]
@@ -23,7 +23,6 @@
 
 Predicts faces more uniformly than dlib, resulting in a less jittered aligned output. However, MTCNN extraction will produce more false positives.
 
-
 Comparison dlib (at left) vs mtcnn on hard case:
 ![](https://i.imgur.com/5qLiiOV.gif)
 

nnlib/device.py

@@ -270,6 +270,8 @@ try:
     ctx = plaidml.Context()
     for d in plaidml.devices(ctx, return_all=True)[0]:
         details = json.loads(d.details)
+        if details['type'] == 'CPU': #skipping opencl-CPU
+            continue
         if 'nvidia' in details['vendor'].lower():
             has_nvidia_device = True
         plaidML_devices += [ {'id':d.id,

requirements-opencl.txt

@@ -0,0 +1,11 @@
+numpy==1.16.1
+pathlib==1.0.1
+scandir==1.6
+h5py==2.7.1
+Keras==2.2.4
+opencv-python==4.0.0.21
+tensorflow==1.11.0
+plaidml-keras==0.5.0
+scikit-image
+tqdm
+git+https://www.github.com/keras-team/keras-contrib.git