Ling Lin
Ling Lin
https://www.tensorflow.org/api_docs/python/tf/keras/applications?version=nightly Here is what it should be I guess...it's detecting activations, but not applications
I editted your code out for importing it and just wrote it in as: tf.keras.applications and tf.keras.applications.VGG19 etc. ``` def get_vgg_layers(layer_names): vgg = tf.keras.applications.VGG19(include_top=False, weights='imagenet') vgg.trainable = False outputs =...
Here's how I have my tileset and tilemap in Tiled  Here's my overcomplicated code: ```c #include #include "AutumnMap.h" #include "toolbox.h" #include "input.h" renderBackground(){ // Load palette memcpy(pal_bg_mem, Autumn_MapPalette, Autumn_MapPaletteLength);...
```c #include #include "AutumnMap.h" #include "toolbox.h" #include "input.h" renderBackground(){ // Load palette memcpy(pal_bg_mem, Autumn_MapPalette, Autumn_MapPaletteLength); // Load tiles into CBB 0 memcpy(&tile_mem[0][0], Autumn_MapTileSet, Autumn_MapTileSetLength); // Load map into SBB 30...
I have implemented this using a grammar file and some fancy timestamp stuff, but either my code is wrong or she doesn't know how to do time conversions well...
My upscaling issue is that it seems to be saving it right, but when it posts I get an attachment with 0bytes