def del_gen_img_path(pid, expid, path):
db = get_db()
delImgPath(db, expid, path)
img_gen_list = get_output_imgs(db, expid, "GENDATA")
emit('data-get-gen-images', img_gen_list, namespace='/data')
print("Emitted to data-get-gen-images")
def request_inference_generate(pid, expid, model_path):
print("Request received to make inference plot")
db = get_db()
(ganDir, ganFile, ganClass) = getGANInfo(db, expid)
# my_module = importlib.import_module("GANEX.fastGAN.{}".format(ganFile))
# gan = eval("my_module.{}(db, pid, expid)".format(ganClass))
gan = create_gan_object(db, pid, expid, ganDir, ganFile, ganClass)
gan.inference(model_path)
img_list = get_output_imgs(db, expid, "INFERENCED")
emit("inference-get-inferenced-imgs", img_list, namespace='/inference')
print(img_list)
def rqst_del_img(expid, path):
db = get_db()
delImgPath(db, expid, path)
img_list = get_output_imgs(db, expid, "INFERENCED")
emit("inference-get-inferenced-imgs", img_list, namespace='/inference')
def request_available_inferenced_imgs(pid, expid):
db = get_db()
img_list = get_output_imgs(db, expid, "INFERENCED")
emit("inference-get-inferenced-imgs", img_list, namespace='/inference')
def data_request_gan_gen_images(pid, expid):
db = get_db()
img_list = get_output_imgs(db, expid, "GENDATA")
emit('data-get-gen-images', img_list, namespace='/data')